diff --git a/lib/queryTypes.mjs b/lib/queryTypes.mjs
index 6677976..eed695f 100644
--- a/lib/queryTypes.mjs
+++ b/lib/queryTypes.mjs
@@ -1,58 +1,60 @@
-// Semantic classification of VFB term-info query types, so the assistant can
-// (a) describe what a query's COUNT means and (b) pick the right query.
+// Semantic typing of VFB term-info query types, so the model can (a) read what a
+// query's COUNT means, (b) pick the right query, and (c) never report a class
+// count as an image count.
 //
-// The critical distinction, confirmed by the row id prefix in the results:
+// The distinction, confirmed by the row id prefix in the results:
 //   - INDIVIDUAL-IMAGE queries return individual registered images (VFB_* rows);
-//     the count is a number of IMAGES. e.g. ImagesNeurons on the medulla returns
-//     226,524 individual neuron images.
+//     the count is a number of IMAGES (e.g. ImagesNeurons on the medulla = 226,524
+//     neuron images).
 //   - CLASS-LIST queries return ontology CLASSES (FBbt_* rows); the count is a
-//     number of classes/types, and any thumbnail shown is just ONE example image
-//     of that class. e.g. NeuronsPartHere = 471 neuron types, PartsOf = 28
-//     subparts. Reporting these as "images" is wrong.
+//     number of classes/types, and any thumbnail is just ONE example image of that
+//     class (e.g. NeuronsPartHere = 471 neuron types, PartsOf = 28 subparts).
+//     Reporting these as "images" is wrong.
 //
-// countNoun is what one row/one unit of the count IS, used to word answers
-// ("226,524 images", "471 neuron types", "28 subparts").
+// Per entry: kind, countNoun (what one unit of the count is, for wording answers),
+// and an optional `use` (when to reach for it). queryTypeTag() renders the compact
+// typing shown on each digest line.
 
-const S = (kind, countNoun) => ({ kind, countNoun })
+const S = (kind, countNoun, use) => ({ kind, countNoun, ...(use ? { use } : {}) })
 
 export const QUERY_SEMANTICS = {
   // individual images — count = images (VFB_* rows)
-  ListAllAvailableImages: S('individual_images', 'images'),
-  AllAlignedImages: S('individual_images', 'images'),
-  DatasetImages: S('individual_images', 'images'),
-  ImagesNeurons: S('individual_images', 'images of neurons'),
-  ImagesThatDevelopFrom: S('individual_images', 'images'),
+  ListAllAvailableImages: S('individual_images', 'images', 'images of the term itself'),
+  ImagesNeurons: S('individual_images', 'images of neurons', 'how many/which images of neurons have a part in a region'),
+  AllAlignedImages: S('individual_images', 'images', 'images aligned to a template'),
+  DatasetImages: S('individual_images', 'images', 'images in a dataset'),
+  ImagesThatDevelopFrom: S('individual_images', 'images', 'images of neurons that develop from a lineage'),
   epFrag: S('individual_images', 'image fragments'),
   PaintedDomains: S('individual_images', 'painted-domain images'),
 
   // class lists — count = classes/types; thumbnails are examples (FBbt_* rows)
-  NeuronsPartHere: S('class_list', 'neuron types'),
-  NeuronsSynaptic: S('class_list', 'neuron types'),
-  NeuronsPresynapticHere: S('class_list', 'neuron types'),
-  NeuronsPostsynapticHere: S('class_list', 'neuron types'),
+  NeuronsPartHere: S('class_list', 'neuron types', 'which/how many neuron types have a part in a region'),
+  NeuronsSynaptic: S('class_list', 'neuron types', 'neuron types with synaptic terminals in a region'),
+  NeuronsPresynapticHere: S('class_list', 'neuron types', 'neuron types with presynaptic terminals in a region'),
+  NeuronsPostsynapticHere: S('class_list', 'neuron types', 'neuron types with postsynaptic terminals in a region'),
   NeuronClassesFasciculatingHere: S('class_list', 'neuron types'),
-  SubclassesOf: S('class_list', 'subclasses'),
-  PartsOf: S('class_list', 'subparts'),
+  SubclassesOf: S('class_list', 'subclasses', 'types/kinds/subclasses of the term'),
+  PartsOf: S('class_list', 'subparts', 'parts/sub-regions/subdivisions of the term'),
   ComponentsOf: S('class_list', 'components'),
   TractsNervesInnervatingHere: S('class_list', 'tracts/nerves'),
   LineageClonesIn: S('class_list', 'lineage clones'),
-  ExpressionOverlapsHere: S('class_list', 'anatomy terms'),
+  ExpressionOverlapsHere: S('class_list', 'anatomy terms', 'anatomy whose expression overlaps the term'),
 
   // transgene / expression reports
-  TransgeneExpressionHere: S('expression', 'transgene expression reports'),
+  TransgeneExpressionHere: S('expression', 'transgene expression reports', 'GAL4/LexA drivers or expression reported in a region'),
 
   // connectivity — count = partners/classes
-  ref_neuron_region_connectivity_query: S('connectivity', 'region connections'),
-  ref_neuron_neuron_connectivity_query: S('connectivity', 'connected neurons'),
-  ref_downstream_class_connectivity_query: S('connectivity', 'downstream neuron classes'),
-  ref_upstream_class_connectivity_query: S('connectivity', 'upstream neuron classes'),
-  DownstreamClassConnectivity: S('connectivity', 'downstream neuron classes'),
-  UpstreamClassConnectivity: S('connectivity', 'upstream neuron classes'),
+  ref_neuron_region_connectivity_query: S('connectivity', 'region connections', 'connectivity of a neuron broken down by region'),
+  ref_neuron_neuron_connectivity_query: S('connectivity', 'connected neurons', 'individual neurons connected to a neuron'),
+  ref_downstream_class_connectivity_query: S('connectivity', 'downstream neuron classes', 'what a neuron class outputs to (downstream)'),
+  ref_upstream_class_connectivity_query: S('connectivity', 'upstream neuron classes', 'what inputs to a neuron class (upstream)'),
+  DownstreamClassConnectivity: S('connectivity', 'downstream neuron classes', 'what a neuron class outputs to (downstream)'),
+  UpstreamClassConnectivity: S('connectivity', 'upstream neuron classes', 'what inputs to a neuron class (upstream)'),
   NeuronNeuronConnectivityQuery: S('connectivity', 'connected neurons'),
   NeuronRegionConnectivityQuery: S('connectivity', 'region connections'),
 
   // morphological similarity — individual neurons/expression patterns
-  SimilarMorphologyTo: S('similarity', 'neurons'),
+  SimilarMorphologyTo: S('similarity', 'neurons', 'neurons of similar morphology (NBLAST)'),
   SimilarMorphologyToPartOf: S('similarity', 'expression patterns'),
   SimilarMorphologyToPartOfexp: S('similarity', 'neurons'),
   SimilarMorphologyToNB: S('similarity', 'neurons'),
@@ -60,24 +62,40 @@ export const QUERY_SEMANTICS = {
   SimilarMorphologyToUserData: S('similarity', 'neurons'),
 
   // single-cell transcriptomics
-  anatScRNAseqQuery: S('scrnaseq', 'scRNAseq clusters'),
-  clusterExpression: S('scrnaseq', 'genes'),
+  anatScRNAseqQuery: S('scrnaseq', 'scRNAseq clusters', 'single-cell clusters for a cell type'),
+  clusterExpression: S('scrnaseq', 'genes', 'genes expressed in a cluster'),
   scRNAdatasetData: S('scrnaseq', 'clusters'),
   expressionCluster: S('scrnaseq', 'clusters'),
 
   // datasets
-  AllDatasets: S('dataset', 'datasets'),
-  AlignedDatasets: S('dataset', 'datasets'),
+  AllDatasets: S('dataset', 'datasets', 'all datasets in VFB'),
+  AlignedDatasets: S('dataset', 'datasets', 'datasets aligned to a template'),
 
   // FlyBase
-  FindStocks: S('stocks', 'fly stocks'),
-  FindComboPublications: S('publications', 'publications'),
+  FindStocks: S('stocks', 'fly stocks', 'fly stocks for a FlyBase feature'),
+  FindComboPublications: S('publications', 'publications', 'publications for a split-GAL4 combination'),
   TermsForPub: S('terms', 'terms')
 }
 
 const DEFAULT = S('other', 'results')
 
-/** Semantics for a query_type: { kind, countNoun }. Unknown types get a safe default. */
+// Human phrase for a kind — the key line is that individual_images counts are
+// images while class_list counts are types/subparts (thumbnails just examples).
+const KIND_PHRASE = {
+  individual_images: 'individual images',
+  class_list: 'ontology classes; thumbnails are examples',
+  connectivity: 'connectivity partners',
+  expression: 'expression reports',
+  scrnaseq: 'single-cell data',
+  similarity: 'similar neurons',
+  dataset: 'datasets',
+  stocks: 'fly stocks',
+  publications: 'publications',
+  terms: 'terms',
+  other: 'results'
+}
+
+/** Semantics for a query_type: { kind, countNoun, use? }. Unknown types get a safe default. */
 export function querySemantics(queryType = '') {
   return QUERY_SEMANTICS[queryType] || DEFAULT
 }
@@ -86,3 +104,16 @@ export function querySemantics(queryType = '') {
 export function isIndividualImageQuery(queryType = '') {
   return querySemantics(queryType).kind === 'individual_images'
 }
+
+/**
+ * Compact typing tag for a query, shown on each digest line so the model reads
+ * what the count means and when to use the query, e.g.:
+ *   "ImagesNeurons — individual images; count = images of neurons; use for how many/which images of neurons have a part in a region"
+ *   "PartsOf — ontology classes; thumbnails are examples; count = subparts"
+ */
+export function queryTypeTag(queryType = '') {
+  const s = querySemantics(queryType)
+  const phrase = KIND_PHRASE[s.kind] || 'results'
+  const use = s.use ? `; use for ${s.use}` : ''
+  return `${queryType} — ${phrase}; count = ${s.countNoun}${use}`
+}
diff --git a/lib/termInfoDigest.mjs b/lib/termInfoDigest.mjs
index e3da1ef..50c9295 100644
--- a/lib/termInfoDigest.mjs
+++ b/lib/termInfoDigest.mjs
@@ -16,7 +16,7 @@
 //
 // See outputs/reports/vfbchat-live-eval-and-followons-2026-06-13.md.
 
-import { querySemantics } from './queryTypes.mjs'
+import { querySemantics, queryTypeTag } from './queryTypes.mjs'
 
 /** Does this object look like a single (flat) VFB get_term_info record? */
 export function isTermInfo(obj) {
@@ -222,16 +222,17 @@ export function digestToText(digest, { maxQueries = 16, maxExamples = 5 } = {})
   if (digest.relationships) lines.push(`Relationships: ${digest.relationships}`)
   if (digest.synonyms?.length) lines.push(`Synonyms: ${digest.synonyms.join(', ')}`)
   if (digest.queries?.length) {
-    lines.push('Available VFB data for this term. Each line is a query: the count is the number of that item — "images" are individual images; "neuron types"/"subparts"/"subclasses" are ontology classes that may each show ONE example image (never report a class count as an image count). "run this query" = the total was not precomputed; call vfb_run_query with that query_type to get it:')
+    lines.push('Available VFB data for this term. Each line ends with its query typing [query_type — kind; count = unit; use for …]. "individual images" ⇒ the count is a number of IMAGES; "ontology classes" ⇒ the count is a number of types/subparts/subclasses and any thumbnail is just ONE example — NEVER report a class count as an image count. Answer an "images" question only from an individual-image query. "run this query" = the total was not precomputed; call vfb_run_query with that query_type to get it:')
     for (const q of digest.queries.slice(0, maxQueries)) {
       const ex = q.examples.slice(0, maxExamples).join(', ')
       const noun = querySemantics(q.query_type).countNoun
+      const tag = queryTypeTag(q.query_type)
       if (q.count < 0) {
         // Count not precomputed by get_term_info — the data is available; the
         // query must be run to get the count/results (do NOT read this as "no data").
-        lines.push(`- ${q.label}: run this query — call vfb_run_query with query_type ${q.query_type} to get the number of ${noun}`)
+        lines.push(`- ${q.label}: not pre-counted — run this query to get its count of ${noun} [${tag}]`)
       } else {
-        lines.push(`- ${q.label}: ${q.count} ${noun}${ex ? ` (e.g. ${ex})` : ''}`)
+        lines.push(`- ${q.label}: ${q.count} ${noun}${ex ? ` (e.g. ${ex})` : ''} [${tag}]`)
       }
     }
   }
diff --git a/test-results/task-battery/latest.json b/test-results/task-battery/latest.json
index 45a7a36..e018e11 100644
--- a/test-results/task-battery/latest.json
+++ b/test-results/task-battery/latest.json
@@ -1,9 +1,9 @@
 {
   "metadata": {
-    "run_id": "task-battery-2026-07-15T09-42-52-268Z",
-    "started_at": "2026-07-15T09:42:52.268Z",
-    "completed_at": "2026-07-15T09:48:03.974Z",
-    "git_sha": "42087163d216870ce05643e1ad87bc4c5fb8b2f9",
+    "run_id": "task-battery-2026-07-15T10-28-06-729Z",
+    "started_at": "2026-07-15T10:28:06.729Z",
+    "completed_at": "2026-07-15T10:34:50.351Z",
+    "git_sha": "9f71be27eaea97eb87ae50529441450ea435c820",
     "task_file": "/home/runner/work/VFBchat/VFBchat/VFBchat/tests/task-battery/tasks.json",
     "base_url": "http://127.0.0.1:3210",
     "started_server": true,
@@ -53,15 +53,18 @@
     },
     "quality": {
       "no_tool_factual_answer": {
-        "count": 2,
+        "count": 4,
         "task_ids": [
+          "D5",
           "D12",
+          "D13",
           "D16"
         ]
       },
       "tool_claim_without_tool": {
-        "count": 2,
+        "count": 3,
         "task_ids": [
+          "D5",
           "D12",
           "D16"
         ]
@@ -93,7 +96,7 @@
         "task_ids": []
       }
     },
-    "mean_duration_ms": 17300
+    "mean_duration_ms": 25928
   },
   "results": [
     {
@@ -107,7 +110,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 15117,
+      "duration_ms": 23422,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -130,12 +133,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 193,
-      "request_id": "37ebebe1-124f-411a-938e-d138d24fd04b",
-      "response_id": "chatcmpl-332e27390ccab5b3ff2a778145813a9b",
+      "event_count": 222,
+      "request_id": "d8e101b6-d8d2-422e-a96d-9be2251020e4",
+      "response_id": "chatcmpl-e60202927db428510d8369deb98aae77",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The major subdivisions of the Drosophila [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are the calyx, pedunculus, and mushroom body lobe system. This information comes from the Virtual Fly Brain database (VFB). VFB records show that the mushroom body is divided into these three main parts: the calyx, which receives sensory interneuron afferents; the pedunculus, a thick axon bundle; and the mushroom body lobe system, which consists of a vertical branch and a medial branch. \n\nVFB holds a range of data related to the mushroom body, including images, neuron information, parts, subclasses, and lineage clones. For example, VFB has annotated [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body, and [176](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,PartsOf \"Run in VFB: Parts of mushroom body\") parts of the mushroom body. The user can explore these data further by querying VFB for specific information, such as images of the mushroom body or neurons with synaptic terminals in the mushroom body.",
+      "response": "The major subdivisions of the Drosophila [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are the calyx, pedunculus, and mushroom body lobe system. This information comes from the Virtual Fly Brain database. According to the Virtual Fly Brain database, the mushroom body is divided into these three parts: the calyx, which receives sensory interneuron afferents; the pedunculus, a thick axon bundle extending from the calyx to the base of the lobes; and the mushroom body lobe system, which consists of a vertical branch and a medial branch, with different structures at different life stages. VFB holds various records related to the mushroom body, including images, neurons with some part in the mushroom body, and parts of the mushroom body, with counts of [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ListAllAvailableImages \"Run in VFB: List all available images of mushroom body\") images, [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body, and [176](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,PartsOf \"Run in VFB: Parts of mushroom body\") parts of the mushroom body. For further information, you can explore the available data in VFB, such as the images of neurons with some part in the mushroom body or the tracts/nerves innervating the mushroom body.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -146,7 +149,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1246,
+        "response_chars": 1542,
         "status_count": 5
       }
     },
@@ -161,7 +164,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 15807,
+      "duration_ms": 32648,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -184,12 +187,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 173,
-      "request_id": "67a21853-87f7-4158-8778-308c6e824dca",
-      "response_id": "chatcmpl-04ce8ab88fd78acc355b1acd801e314f",
+      "event_count": 196,
+      "request_id": "eacce8ad-8b09-4103-9dc3-e101cf8b66ce",
+      "response_id": "chatcmpl-665aff69cd0827c6811f83a6fd6051f1",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The types of Kenyon cells in the adult Drosophila brain include [[KCab-c](https://www.virtualflybrain.org/reports/FBbt_00110929 \"Open KCab-c in Virtual Fly Brain\")(i)](https://www.virtualflybrain.org/reports/FBbt_00049111 \"Open KCab-c(i) in Virtual Fly Brain\"), KCab-c, [KCg-m](https://www.virtualflybrain.org/reports/FBbt_00111061 \"Open KCg-m in Virtual Fly Brain\"), [[Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") of main calyx](https://www.virtualflybrain.org/reports/FBbt_00047926 \"Open Kenyon cell of main calyx in Virtual Fly Brain\"), and [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\"), as well as alpha/beta, alpha'/beta', and gamma Kenyon cells, which can be further subdivided into subtypes such as core, surface, posterior, anterior-posterior, middle, and dorsal. This information comes from the Virtual Fly Brain database. VFB holds [37](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,SubclassesOf \"Run in VFB: Subclasses of Kenyon cell\") subclasses of Kenyon cell, and also has scRNAseq data for Kenyon cell, which may provide further insight into the types of Kenyon cells. To learn more, you can explore the available images of Kenyon cell, or examine the downstream and upstream connectivity classes for Kenyon cell, which are also available in VFB.",
+      "response": "The types of Kenyon cells in the adult Drosophila brain include [[KCab-c](https://www.virtualflybrain.org/reports/FBbt_00110929 \"Open KCab-c in Virtual Fly Brain\")(i)](https://www.virtualflybrain.org/reports/FBbt_00049111 \"Open KCab-c(i) in Virtual Fly Brain\"), KCab-c, [KCg-m](https://www.virtualflybrain.org/reports/FBbt_00111061 \"Open KCg-m in Virtual Fly Brain\"), [[Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") of main calyx](https://www.virtualflybrain.org/reports/FBbt_00047926 \"Open Kenyon cell of main calyx in Virtual Fly Brain\"), and [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\"), as well as alpha/beta, alpha'/beta', and gamma Kenyon cells, which can be further subdivided into subtypes such as core, surface, posterior, anterior-posterior, middle, and dorsal. This information comes from the Virtual Fly Brain database. VFB holds [37](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,SubclassesOf \"Run in VFB: Subclasses of Kenyon cell\") subclasses of Kenyon cell, and also has scRNAseq data for Kenyon cell, which may provide further insights into the types of Kenyon cells. To explore the different types of Kenyon cells in more detail, you can use VFB to list all available images of Kenyon cell, which currently numbers [32328](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,ListAllAvailableImages \"Run in VFB: List all available images of Kenyon cell\"), or examine the downstream and upstream connectivity classes for Kenyon cell, with [10073](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for Kenyon cell\") and [11243](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for Kenyon cell\") records respectively.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -200,7 +203,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1431,
+        "response_chars": 2026,
         "status_count": 5
       }
     },
@@ -215,7 +218,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 14826,
+      "duration_ms": 22089,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -238,12 +241,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 192,
-      "request_id": "cdc2c80d-18dd-49da-ba83-6b6a5f3a804f",
-      "response_id": "chatcmpl-6ebaa074afaf321ab7e49e2be250feef",
+      "event_count": 122,
+      "request_id": "9bae0440-8bee-42d3-80f7-403a313be20e",
+      "response_id": "chatcmpl-940be320ba47d8a80515567291944458",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The main input neurons to the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are sensory interneurons, as indicated by the calyx, which is closest to the cortex and receives sensory interneuron afferents, according to VFB. Additionally, VFB records show that projection neurons from the antennal lobe are also main input neurons to the mushroom body. Specifically, the VFB mushroom body description mentions that the calyx receives sensory interneuron afferents, and it is noted that [larval antennal lobe multiglomerular projection neuron C2](https://www.virtualflybrain.org/reports/FBbt_00111716 \"Open larval antennal lobe multiglomerular projection neuron C2 in Virtual Fly Brain\") is an example of such a neuron. To further explore the connectivity of the mushroom body, VFB holds [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") records of neurons with some part in mushroom body, [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") records of neurons with presynaptic terminals in mushroom body, and [304](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in mushroom body\") records of neurons with postsynaptic terminals in mushroom body, which can be used to investigate the inputs and outputs of the mushroom body.",
+      "response": "The main input neurons to the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are projection neurons from the antennal lobe, as well as sensory interneuron afferents to the calyx and neurons with presynaptic terminals in the mushroom body. This includes larval antennal lobe multiglomerular projection neurons and larval uniglomerular projection neurons, according to VFB. VFB holds records of [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") neurons with presynaptic terminals in the mushroom body and [601](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in mushroom body\") neurons with synaptic terminals in the mushroom body, which may be relevant for a narrower follow-up of mushroom body inputs.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -254,7 +257,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1618,
+        "response_chars": 982,
         "status_count": 5
       }
     },
@@ -269,7 +272,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
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+      "duration_ms": 18173,
       "status_messages": [
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           "message": "Thinking...",
@@ -292,12 +295,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 105,
-      "request_id": "362852ee-d012-47fa-9ebc-0aae33f2ba8a",
-      "response_id": "chatcmpl-e1050da29e9268b2bf3811f0e273636f",
+      "event_count": 103,
+      "request_id": "67c50de7-217b-4dc5-bb9a-b210eedd7817",
+      "response_id": "chatcmpl-87d3c69b5961022d7a260fe85de94256",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The neurotransmitter used by [Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") is indicated by VFB neurotransmitter tags to be acetylcholine, as these tags support Kenyon cell as cholinergic. VFB holds various data related to Kenyon cell, including images, subclasses, scRNAseq data, transgene expression, downstream connectivity classes, and upstream connectivity classes. For example, VFB has annotated [79](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,anatScRNAseqQuery \"Run in VFB: scRNAseq data for Kenyon cell\") scRNAseq data records for Kenyon cell and [10073](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for Kenyon cell\") downstream connectivity classes for Kenyon cell.",
+      "response": "According to the VFB database, as indicated by the neurotransmitter tags, mushroom body Kenyon cells are predicted to use acetylcholine as their primary neurotransmitter. This information is supported by the VFB neurotransmitter profile, accessible via the VFB query. VFB holds various data related to Kenyon cells, including a large number of images, subclasses, scRNAseq data, transgene expression data, and both downstream and upstream connectivity classes.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -308,7 +311,7 @@
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         "used_data_resource": false,
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@@ -323,7 +326,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
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+      "duration_ms": 16787,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -346,12 +349,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 118,
-      "request_id": "f8305409-fb13-4542-8a36-6b77b452ea48",
-      "response_id": "chatcmpl-14f084efd0f97cde981880702f40e646",
+      "event_count": 123,
+      "request_id": "e303480a-80bb-45ab-a627-5f6a08f0fcb7",
+      "response_id": "chatcmpl-a70fe44a0130f026c5f00cdb89877c90",
       "images_count": 6,
       "graphs_count": 0,
-      "response": "The [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") connects to the mushroom body and lateral horn, according to the VFB database, as described in the term for antennal lobe projection neuron. VFB holds various data related to the antennal lobe, including available images, neurons with some part in the antennal lobe, and parts of the antennal lobe. To learn more about the specific connections, you can query the available data, such as neurons with synaptic terminals in the antennal lobe or tracts/nerves innervating the antennal lobe.",
+      "response": "The [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") connects to the mushroom body and lateral horn, as indicated by the description of antennal lobe projection neuron term in VFB. VFB holds various data related to the antennal lobe, including available images, neurons with some part in the antennal lobe, and tracts/nerves innervating the antennal lobe. To learn more about the specific connections, you can query VFB for neurons with presynaptic or postsynaptic terminals in the antennal lobe, or explore the parts and subclasses of the antennal lobe.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -362,7 +365,7 @@
         "graph_failure_mentioned": false,
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         "used_data_resource": false,
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@@ -377,7 +380,7 @@
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       "repetition": 1,
       "ok": true,
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       "status_messages": [
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           "message": "Thinking...",
@@ -400,12 +403,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 97,
-      "request_id": "ea3a03eb-4668-4c96-83ca-33c3b0039382",
-      "response_id": "chatcmpl-684ccc244384f8f3be4a9546caec1b1d",
+      "event_count": 73,
+      "request_id": "0100c2b5-de88-400a-8e25-b60d33fd0275",
+      "response_id": "chatcmpl-081967383d398b75704614d45ca383fa",
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-      "response": "VFB has annotated [9413](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central brain\") neuron types with some part in the [adult central brain](https://www.virtualflybrain.org/reports/FBbt_00047887 \"Open adult central brain in Virtual Fly Brain\"). Additionally, VFB records show more than 125,000 neurons. However, it is essential to note that the \"neurons with some part here\" figure represents the number of neuron types annotated in VFB, not the biological total. For a published biological total, a citation is required, which is not provided in the available evidence for the adult central brain.\n\n**Published neuron-count estimates — adult central brain** (from the literature):\n\n- more than 125,000 neurons (adult Drosophila central brain connectome/model) — A Drosophila computational brain model reveals sensorimotor processing. — PMID 39358519\n- ~139,255 neurons (whole adult Drosophila brain) — Neuronal wiring diagram of an adult brain. — PMID 39358518\n\n_VFB has annotated 9,413 neuron types with some part in adult central brain — a curated annotation count, not the biological total._",
+      "response": "The number of neurons in the [adult central brain](https://www.virtualflybrain.org/reports/FBbt_00047887 \"Open adult central brain in Virtual Fly Brain\") can be estimated from available data. According to the VFB database, there are approximately more than 125,000 neurons, as indicated by VFB reference. Additionally, VFB has annotated [9413](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central brain\") neuron types with some part in the adult central brain.\n\n**Published neuron-count estimates — adult central brain** (from the literature):\n\n- more than 125,000 neurons (adult Drosophila central brain connectome/model) — A Drosophila computational brain model reveals sensorimotor processing. — PMID 39358519\n- ~139,255 neurons (whole adult Drosophila brain) — Neuronal wiring diagram of an adult brain. — PMID 39358518\n\n_VFB has annotated 9,413 neuron types with some part in adult central brain — a curated annotation count, not the biological total._",
       "quality_flags": {
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@@ -416,7 +419,7 @@
         "graph_failure_mentioned": false,
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@@ -431,7 +434,7 @@
       "min_graphs": 0,
       "repetition": 1,
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+      "duration_ms": 22427,
       "status_messages": [
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           "message": "Thinking...",
@@ -606,12 +609,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 335,
-      "request_id": "f8581876-0ec9-43f9-9c2f-7c121540e97d",
-      "response_id": "chatcmpl-94ad84e01f3168eadc5607d72da16287",
+      "event_count": 389,
+      "request_id": "b1a6dde5-6a95-49eb-9cb0-ac22d15b4d0e",
+      "response_id": "chatcmpl-3813024dd0eaab95f20848ee84bd8f7e",
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-      "response": "To address the question about the main components of the Drosophila central complex and their associated functions, we need to consider the structural and functional aspects of this brain region. The Drosophila central complex is a critical area for spatial memory, navigation, and locomotor control. \n\nThe main components typically include the ellipsoid body, the fan-shaped body, the noduli, and the protocerebral bridge. Each of these components is associated with specific functions, such as the integration of sensory information, the control of movement, and the formation of memories related to spatial orientation and navigation.\n\nHowever, without specific evidence or citations from scientific publications or databases like FlyBase, it's challenging to provide detailed, accurate information on the precise functions and interactions of these components within the Drosophila central complex. \n\nGiven the lack of direct evidence provided in the EVIDENCE section, I must rely on general knowledge and the understanding that the central complex in Drosophila is a complex structure involved in higher-order brain functions. For detailed and accurate information, consulting specific scientific literature or databases that specialize in Drosophila neuroscience would be necessary. \n\nVFB does not currently hold specific data on the main components of the Drosophila central complex and their functions in the provided EVIDENCE. To find more detailed information, it would be beneficial to query VFB or other databases with specific terms related to the central complex and its components.",
+      "response": "To address the question regarding the main components of the Drosophila central complex and their associated functions, we must consider the available data and literature. \n\nThe Drosophila central complex is a crucial structure in the insect brain, involved in various functions including navigation, locomotion, and spatial memory. It is composed of several distinct substructures, each with specific roles. \n\nVFB does not currently hold comprehensive data on the detailed composition and functions of the Drosophila central complex. However, based on general knowledge in the field of Drosophila neuroscience, the central complex is known to include components such as the ellipsoid body, the fan-shaped body, the noduli, and the protocerebral bridge, among others. \n\nThese components are associated with a range of functions, including the integration of sensory information, the control of locomotor activity, and the formation of spatial memories. For example, the ellipsoid body is thought to be involved in the processing of visual information and the control of orientation, while the fan-shaped body is implicated in the regulation of locomotor patterns.\n\nFor detailed and specific information on the components of the Drosophila central complex and their functions, it would be necessary to consult the scientific literature or databases dedicated to Drosophila neuroscience. VFB holds some records related to the neuroanatomy of Drosophila, but a comprehensive understanding of the central complex would require a narrower follow-up beyond the current data available in VFB. \n\nFollow-up queries could include examining the neuroanatomical details of specific central complex substructures, exploring the neural circuits that connect these components, or investigating the behavioral and physiological phenotypes associated with genetic manipulations of central complex neurons.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -622,7 +625,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
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-        "response_chars": 1596,
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@@ -637,7 +640,7 @@
       "min_graphs": 0,
       "repetition": 1,
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+      "duration_ms": 25826,
       "status_messages": [
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           "message": "Thinking...",
@@ -664,12 +667,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 250,
-      "request_id": "a0c99193-3029-4cfc-947b-15d37c1f48fd",
-      "response_id": "chatcmpl-7d84c55e38f61858e6999ccaac58ed2d",
+      "event_count": 313,
+      "request_id": "a6993f00-eccb-44f6-b74f-bf8ea95e7993",
+      "response_id": "chatcmpl-302bbc0360b30aacb99d43d2d71f520d",
       "images_count": 8,
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-      "response": "To determine the genetic tools commonly used to label [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") neurons in Drosophila, we would typically look for information in scientific publications or databases that specialize in Drosophila genetics and neuroscience. However, based on the information provided, VFB does not currently hold specific data on the genetic tools used for labeling mushroom body neurons. \n\nVFB does hold a significant amount of data related to the mushroom body, including images, neuron information, and lineage clones found within this brain structure. For example, VFB has annotated [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body and [27619](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ImagesNeurons \"Run in VFB: Images of neurons with some part in mushroom body\") images of neurons with some part in the mushroom body. This wealth of information on the mushroom body itself suggests that VFB could be a valuable resource for understanding the structure and components of the mushroom body, but it does not directly answer the question about genetic tools used for labeling these neurons. \n\nFor specific genetic tools used in labeling mushroom body neurons, one would typically consult the literature or databases such as FlyBase, which is a comprehensive database of Drosophila genes and genomes. Without access to current literature or specific database queries beyond what is provided, I am uncertain about the exact genetic tools commonly used for this purpose.",
+      "response": "To address the question of genetic tools used to label [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") neurons in Drosophila, we must consider the available data and literature. However, the provided EVIDENCE is empty, indicating no specific studies or datasets are cited directly in the query.\n\nFrom the AVAILABLE VFB DATA, we see that VFB holds extensive records related to the mushroom body, including neurons with various relationships to the mushroom body (e.g., Neurons with some part in mushroom body, Neurons with synaptic terminals in mushroom body) and images of these neurons. This suggests a wealth of anatomical and possibly functional information about mushroom body neurons.\n\nWhile VFB does not currently hold direct information on the specific genetic tools used for labeling mushroom body neurons in the provided data, the presence of detailed neuronal data implies that such tools have been utilized in research to achieve the level of detail seen in the available records. \n\nFor definitive information on genetic tools used for labeling mushroom body neurons, one would typically consult specific publications or databases focused on Drosophila genetics and neuroscience, such as FlyBase, which catalogues genetic tools and their applications in Drosophila research. \n\nIn summary, while VFB does not currently hold specific data on genetic tools for labeling mushroom body neurons, its extensive records on mushroom body anatomy and neuronal connections suggest that genetic labeling techniques have been employed in their study. Follow-up queries could explore the genetic tools used in Drosophila neuroscience more broadly or delve into the specifics of mushroom body research to identify relevant methods and studies.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -680,7 +683,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
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@@ -695,7 +698,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 92323,
+      "duration_ms": 50380,
       "status_messages": [
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           "message": "Thinking...",
@@ -1038,12 +1041,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 351,
-      "request_id": "8ce69d83-ac76-4a60-8bac-05d249d2a143",
-      "response_id": "chatcmpl-ad3345b8777948352c8ff4ed8ffc28f6",
+      "event_count": 345,
+      "request_id": "a7c066d8-3083-493c-a69a-2473fbd1169d",
+      "response_id": "chatcmpl-d5b25b2b67658dca8397a6d4706735d9",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The dopaminergic input to mushroom body output neurons (MBONs) is provided by adult dopaminergic mushroom body input neurons. VFB holds extensive data on the connectivity of MBONs, including [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records of upstream connectivity classes. However, the specific connections between different types of adult dopaminergic mushroom body input neurons and MBONs are not detailed here. \n\nVFB has annotated a large number of records for MBONs, including [69](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,SubclassesOf \"Run in VFB: Subclasses of MBON\") subclasses, as well as transgene expression data and scRNAseq data. For adult dopaminergic mushroom body input neurons, VFB holds data on subclasses, transgene expression, and connectivity classes, although the exact number of records is not specified here and would require running the available queries. \n\nThe [larval mushroom body dopaminergic neuron h1](https://www.virtualflybrain.org/reports/FBbt_00111634 \"Open larval mushroom body dopaminergic neuron h1 in Virtual Fly Brain\") is also represented in VFB, with available data on subclasses, transgene expression, and connectivity classes. However, without running the specific queries, the extent of this data is not clear. \n\nTo determine which types of adult dopaminergic mushroom body input neurons connect to which types of MBONs, it would be necessary to examine the upstream connectivity classes for MBONs and the downstream connectivity classes for adult dopaminergic mushroom body input neurons in more detail, using the data available in VFB.",
+      "response": "To describe the dopaminergic input to mushroom body output neurons (MBONs) and which DAN types connect to which MBON types, we can look at the available data in VFB. \n\nVFB holds data on the upstream connectivity classes for [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\"), with [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records. This data may include information on the dopaminergic input to MBONs. Additionally, VFB has annotated downstream connectivity classes for [adult dopaminergic mushroom body input neuron](https://www.virtualflybrain.org/reports/FBbt_00049839 \"Open adult dopaminergic mushroom body input neuron in Virtual Fly Brain\"), which could provide insights into the connections between these neurons and MBONs.\n\nVFB also holds [69](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,SubclassesOf \"Run in VFB: Subclasses of MBON\") subclasses of mushroom body output neuron, which may be relevant for understanding the specific types of MBONs that receive dopaminergic input. Furthermore, there are [158](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,TransgeneExpressionHere \"Run in VFB: Transgene expression in MBON\") records of transgene expression in mushroom body output neuron, and [29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") records of downstream connectivity classes for mushroom body output neuron, which may provide additional information on the connectivity of these neurons.\n\nHowever, without specific queries or analysis of the available data, the exact connections between specific DAN types and MBON types are not immediately clear. To determine which DAN types connect to which MBON types, it would be necessary to examine the upstream and downstream connectivity classes for both adult dopaminergic mushroom body input neuron and mushroom body output neuron in more detail.",
       "quality_flags": {
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@@ -1054,7 +1057,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1744,
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@@ -1069,7 +1072,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 15767,
+      "duration_ms": 24655,
       "status_messages": [
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           "message": "Thinking...",
@@ -1096,12 +1099,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 223,
-      "request_id": "5f435207-ef23-4a17-bda3-a93e4b71457d",
-      "response_id": "chatcmpl-49898f0f65b420f67aed687e3dfffe86",
+      "event_count": 240,
+      "request_id": "5d4b5a2f-8724-4ada-a4f6-0232e94807b4",
+      "response_id": "chatcmpl-f42b0cb44d2e6f027c75f3d4104c902e",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "To determine if the connectivity of olfactory projection neurons is consistent between the Hemibrain and FAFB connectome datasets, we can look at the available data in VFB. VFB holds data on neurons connected to [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), which can be queried for the count. Additionally, VFB has various records for [olfactory projection neuron](https://www.virtualflybrain.org/reports/FBbt_00051298 \"Open olfactory projection neuron in Virtual Fly Brain\"), including lists of available images, splits targeting it, subclasses, scRNAseq data, transgene expression, downstream connectivity classes, and upstream connectivity classes, all of which can be queried for counts. The [JRC_FlyEM_Hemibrain](https://www.virtualflybrain.org/reports/VFB_00101384 \"Open JRC_FlyEM_Hemibrain in Virtual Fly Brain\") dataset is also available in VFB, with [135](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=VFB_00101384,AllDatasets \"Run in VFB: All available datasets\") datasets. However, without specific data on the connectivity of olfactory projection neurons in both the Hemibrain and FAFB datasets, we cannot directly compare their consistency. VFB does not currently hold direct comparative data on this specific aspect of connectivity between the two datasets. To assess consistency, one would need to consult the specific connectivity data for olfactory projection neurons within each dataset and compare them directly.",
+      "response": "The question of whether the connectivity of olfactory projection neurons is consistent between the [JRC_FlyEM_Hemibrain](https://www.virtualflybrain.org/reports/VFB_00101384 \"Open JRC_FlyEM_Hemibrain in Virtual Fly Brain\") and FAFB connectome datasets cannot be directly answered with the information provided. However, VFB holds various data related to the terms in question. For instance, VFB has annotated [135](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=VFB_00101384,AllDatasets \"Run in VFB: All available datasets\") datasets related to JRC_FlyEM_Hemibrain. Additionally, VFB records show that there are neurons connected to [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), although the exact count would require running a specific query. Regarding [olfactory projection neuron](https://www.virtualflybrain.org/reports/FBbt_00051298 \"Open olfactory projection neuron in Virtual Fly Brain\"), VFB has annotated several types of data, including images, splits targeting this neuron type, subclasses, scRNAseq data, transgene expression, and both downstream and upstream connectivity classes. To assess the consistency of connectivity between the two datasets, one would need to compare the specific connectivity patterns recorded in JRC_FlyEM_Hemibrain and FAFB for olfactory projection neurons, which is not directly provided in the available data. Further queries, such as examining the downstream and upstream connectivity classes for olfactory projection neuron in both datasets, could provide insights into their connectivity patterns.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -1112,7 +1115,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1531,
+        "response_chars": 1640,
         "status_count": 6
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     },
@@ -1127,7 +1130,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 15093,
+      "duration_ms": 32763,
       "status_messages": [
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           "message": "Thinking...",
@@ -1154,12 +1157,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 163,
-      "request_id": "d74791eb-1049-46a9-8c88-f44647c30881",
-      "response_id": "chatcmpl-8a9cf8bb84b47b150767c37f8580a353",
+      "event_count": 207,
+      "request_id": "1063c89d-9c34-41d5-a871-89c322f09968",
+      "response_id": "chatcmpl-89a1a10830bad0a22531b42cd0ec7c34",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "To image neurons in the [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"), you can utilize split-GAL4 driver lines that target specific neuron types in this region. While the exact split-GAL4 driver lines available for the adult lateral horn are not specified in the provided information, VFB holds data on transgene expression in the adult lateral horn, with [1934](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,TransgeneExpressionHere \"Run in VFB: Transgene expression in adult lateral horn\") transgene expression reports available. Additionally, VFB has annotated [1661](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsPartHere \"Run in VFB: Neurons with some part in adult lateral horn\") neurons with some part in the adult lateral horn, which may be useful for identifying potential targets for imaging. You can explore the available images of neurons with some part in the adult lateral horn, of which VFB holds [17792](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,ImagesNeurons \"Run in VFB: Images of neurons with some part in adult lateral horn\") records. To find specific split-GAL4 driver lines, you may need to query the VFB database further or consult additional resources.",
+      "response": "To image neurons in the lateral horn, you can use split-GAL4 driver lines that target lateral horn neuron types. VFB records show that there are split-GAL4 driver lines available that target lateral horn neuron types, such as the expression patterns of P{R23C06-GAL4.DBD} ∩ P{VT004984-p65.AD}, P{VT008489-GAL4.DBD} ∩ P{VT006486-p65.AD}, P{VT026953-GAL4.DBD} ∩ P{R45B08-p65.AD}, and P{VT033629-GAL4.DBD} ∩ P{VT037488-p65.AD}. VFB holds [4](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00048293,SplitsTargeting \"Run in VFB: Splits targeting LHN\") records of such split-GAL4 driver lines targeting adult lateral horn neurons. Additionally, VFB has annotated [175](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00048293,TransgeneExpressionHere \"Run in VFB: Transgene expression in LHN\") transgene expression reports and [24022](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00048293,ListAllAvailableImages \"Run in VFB: List all available images of LHN\") images available for adult lateral horn neurons. You can explore these resources further to find the most suitable driver lines for your imaging needs.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -1170,7 +1173,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1359,
+        "response_chars": 1171,
         "status_count": 6
       }
     },
@@ -1185,7 +1188,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 21549,
+      "duration_ms": 29835,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -1208,12 +1211,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 241,
-      "request_id": "ab7de555-e806-4982-b219-acd9f0f64dfb",
-      "response_id": "chatcmpl-fc2aea9c2a40d3852fb207a5378f3fe0",
+      "event_count": 276,
+      "request_id": "8ef134ac-11c7-4a61-a21a-81fcd337c67a",
+      "response_id": "chatcmpl-3f949dcc143d68fd8ef20664607fcc11",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "The LPLC2 visual neuron type is a type of visual neuron with specific characteristics and functions. According to VFB, the cell body of LPLC2 lies in the dorsal area of the lateral cell body rind. It has a distinct dendritic arbor in each lobula plate layer, extending outwards from the main fiber in the direction of motion detection for the layer, allowing it to detect looming stimuli. In the lobula, it has its main dendritic arbors in layers 4 and 5B, with minor processes in layer 5A, and presynaptic sites in layer 4. The arbors of LPLC2 span approximately 25 lobula optic columns, overlapping with other LPLC2 cells. LPLC2 projects to an optic glomerulus of the PVLP, anterior to LPLC1 and dorsal to LC4. Its activity elicits a jump escape response. VFB records show that there are approximately 80 of these cells per optic lobe and they are cholinergic. VFB does not currently hold detailed connectivity data for LPLC2 beyond its projection to the PVLP.",
+      "response": "The LPLC2 visual neuron type has specific characteristics and functions. Its cell body is located in the dorsal area of the lateral cell body rind. The LPLC2 neuron has a distinct dendritic arbor in each lobula plate layer, extending outwards from the main fiber in the direction of motion detection for the layer, which allows it to detect looming stimuli. In the lobula, it has its main dendritic arbors in layers 4 and 5B, with minor processes in layer 5A, and presynaptic sites in layer 4. The arbors of LPLC2 neurons span approximately 25 lobula optic columns, overlapping with other LPLC2 cells. \n\nLPLC2 neurons project to an optic glomerulus of the PVLP, anterior to LPLC1 and dorsal to LC4. The activity of LPLC2 neurons elicits a jump escape response. VFB holds data on approximately 80 of these cells per optic lobe, and they are cholinergic. \n\nVFB does not currently hold comprehensive data on all connections of the LPLC2 neuron type, but it is known to project to the PVLP. For more detailed information on the connectivity of LPLC2 neurons, further queries can be made to explore available connectome data.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -1224,7 +1227,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 962,
+        "response_chars": 1120,
         "status_count": 5
       }
     },
@@ -1239,7 +1242,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 13774,
+      "duration_ms": 24136,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -1263,11 +1266,11 @@
         }
       ],
       "event_count": 200,
-      "request_id": "2539e7ce-cf11-4986-9792-18f90162e9eb",
-      "response_id": "chatcmpl-4a05d00239c6e6ed7f3e221969ab5f69",
+      "request_id": "0162e584-cf2d-4e69-aaef-02a162b14df4",
+      "response_id": "chatcmpl-a0f75803ffebef328400b29a0ae8a1b2",
       "images_count": 6,
       "graphs_count": 0,
-      "response": "The organisation of the [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") in adult and larval Drosophila differs in terms of glomerular organization and tract connections, with the adult antennal lobe being more elaborated as a glomerular neuropil. This information comes from the VFB database, as stated in the reference VFB.\n\nVFB holds various data related to the antennal lobe, including images, neurons with some part in the antennal lobe, neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in the antennal lobe. The user can query these data, such as listing all available images of antennal lobe, or retrieving the number of neurons with some part in antennal lobe. Additionally, VFB contains information on parts of antennal lobe, subclasses of antennal lobe, tracts/nerves innervating antennal lobe, and lineage clones found in antennal lobe.",
+      "response": "The organisation of the [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") in adult and larval Drosophila differs in terms of glomerular organization and tract connections, with the adult antennal lobe being more elaborated as a glomerular neuropil. This information comes from VFB, as stated in the reference VFB.\n\nVFB holds various data related to the antennal lobe, including images, neurons with parts in the antennal lobe, neurons with synaptic terminals in the antennal lobe, and tracts/nerves innervating the antennal lobe. To explore the differences in organisation between adult and larval Drosophila, you can run queries such as listing all available images of antennal lobe, or retrieving the number of neurons with some part in antennal lobe. Additionally, you can investigate the parts of antennal lobe, subclasses of antennal lobe, and lineage clones found in antennal lobe.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -1278,7 +1281,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 945,
+        "response_chars": 950,
         "status_count": 5
       }
     },
@@ -1293,7 +1296,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 15651,
+      "duration_ms": 29566,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -1312,7 +1315,7 @@
           "phase": "mcp"
         },
         {
-          "message": "Reading the literature",
+          "message": "Finding genetic tools",
           "phase": "mcp"
         },
         {
@@ -1324,12 +1327,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 216,
-      "request_id": "1a2d0172-aba9-4e36-ab1d-a96b00f18e89",
-      "response_id": "chatcmpl-6c3cb89d2de9d2ed88470df0324de69f",
+      "event_count": 145,
+      "request_id": "8bb872a7-d667-4a79-9359-3faf23c16ae1",
+      "response_id": "chatcmpl-9127ad7fde32d5cbeb62c662673ff2a1",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "Publications that describe the dopaminergic PPL1 neurons and their role in aversive memory include Claridge-Chang et al., 2009, Mao and Davis, 2009, Budnik and White, 1988, and Ren et al., 2016, as stated in the VFB database. \n\nVFB holds various data related to dopaminergic PPL1 neurons, including available images of PPL1, splits targeting PPL1, subclasses of PPL1, transgene expression in PPL1, downstream connectivity classes for PPL1, and upstream connectivity classes for PPL1. The user can query these datasets for more specific information on dopaminergic PPL1 neurons. \n\nThe VFB database also mentions that dopaminergic PPL1 neurons are involved in aversive memory, specifically in the formation of labile aversive memory. However, for a comprehensive understanding, it is recommended to consult the original publications, such as those listed, and explore the available data in VFB.",
+      "response": "Publications describing the dopaminergic PPL1 neurons and their role in aversive memory include: Claridge-Chang et al., 2009, Mao and Davis, 2009, Budnik and White, 1988, Ren et al., 2016, as stated in the VFB database. \n\nVFB holds various data related to dopaminergic PPL1 neurons, including available images, splits targeting PPL1, subclasses of PPL1, transgene expression in PPL1, downstream connectivity classes for PPL1, and upstream connectivity classes for PPL1. To access specific counts of these records, you can run queries for each category.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -1340,7 +1343,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 892,
+        "response_chars": 552,
         "status_count": 7
       }
     },
@@ -1355,7 +1358,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 14772,
+      "duration_ms": 19610,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -1530,12 +1533,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 201,
-      "request_id": "232fb1a0-52f3-4587-a9d2-92d077654b0e",
-      "response_id": "chatcmpl-5f954378029252c003508ce1e4e1e407",
+      "event_count": 210,
+      "request_id": "bf43d057-1bdc-4d30-a415-4e850f2bdd41",
+      "response_id": "chatcmpl-ff7c4cd6266652e640872636aa1691e8",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "The claim that the Hemibrain dataset contains neurons morphologically similar to the fru+ mAL neurons described in light microscopy studies comes from VFB. Specifically, VFB mentions \"adult fru-mAL neuron, fru-aDT1\" in this context. VFB holds various data related to the [adult fruitless aDT1 neuron](https://www.virtualflybrain.org/reports/FBbt_00110537 \"Open adult fruitless aDT1 neuron in Virtual Fly Brain\"), including Splits targeting fru-aDT1, Subclasses of fru-aDT1, Transgene expression in fru-aDT1, Downstream connectivity classes for fru-aDT1, and Upstream connectivity classes for fru-aDT1. To determine the specifics of the morphological similarity between neurons in the Hemibrain dataset and the fru+ mAL neurons, one could run queries on these available data.",
+      "response": "The claim that the Hemibrain dataset contains neurons morphologically similar to the fru+ mAL neurons described in light microscopy studies comes from VFB. Specifically, VFB mentions \"adult fru-mAL neuron, fru-aDT1\" in this context. VFB holds various data related to the [adult fruitless aDT1 neuron](https://www.virtualflybrain.org/reports/FBbt_00110537 \"Open adult fruitless aDT1 neuron in Virtual Fly Brain\"), including Splits targeting adult fruitless aDT1 neuron, Subclasses of adult fruitless aDT1 neuron, Transgene expression in adult fruitless aDT1 neuron, Downstream connectivity classes for adult fruitless aDT1 neuron, and Upstream connectivity classes for adult fruitless aDT1 neuron. To learn more about the morphological similarity between neurons in the Hemibrain dataset and the fru+ mAL neurons, you can run queries on these available datasets.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -1546,7 +1549,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 774,
+        "response_chars": 861,
         "status_count": 43
       }
     },
@@ -1561,7 +1564,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 17121,
+      "duration_ms": 30149,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -1592,12 +1595,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 190,
-      "request_id": "0222a9cf-c8bc-4ba1-9e69-b11b6fdc4d5c",
-      "response_id": "chatcmpl-bc4a0e68c134772ef536b995dac07def",
+      "event_count": 178,
+      "request_id": "c1369391-ab34-44c9-9cf3-92c76bc034c6",
+      "response_id": "chatcmpl-32cf8c27712580b341121835ea443225",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The [fan-shaped body](https://www.virtualflybrain.org/reports/FBbt_00003679 \"Open fan-shaped body in Virtual Fly Brain\") receives input from various sensory neurons. VFB holds [229](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPartHere \"Run in VFB: Neurons with some part in fan-shaped body\") neuron types with a part in or for the fan-shaped body, and [102](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in fan-shaped body\") of these have presynaptic terminals in the fan-shaped body, indicating they provide input to it. The connectome data indicates that these neurons have synaptic terminals in the fan-shaped body, but the exact number of synaptic steps is not specified in the available data. VFB also records [72](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in fan-shaped body\") neurons with postsynaptic terminals in the fan-shaped body, suggesting they receive output from the fan-shaped body. To determine the specific sensory neurons and the number of synaptic steps involved, further queries can be made using VFB, such as exploring the tracts/nerves innervating the fan-shaped body, which VFB has annotated [6](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,TractsNervesInnervatingHere \"Run in VFB: Tracts/nerves innervating fan-shaped body\") records for, or examining the lineage clones found in the fan-shaped body, for which VFB holds [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,LineageClonesIn \"Run in VFB: Lineage clones found in fan-shaped body\") records.",
+      "response": "The [fan-shaped body](https://www.virtualflybrain.org/reports/FBbt_00003679 \"Open fan-shaped body in Virtual Fly Brain\") receives input from sensory neurons. VFB holds [229](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPartHere \"Run in VFB: Neurons with some part in fan-shaped body\") neuron types with a part in or for the fan-shaped body, and [102](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in fan-shaped body\") of these have presynaptic terminals in the fan-shaped body, indicating they provide input to it. The connectome data indicates these neurons have synaptic terminals in the fan-shaped body, but the exact number of synaptic steps is not specified in the available data. VFB has annotated [72](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in fan-shaped body\") neurons with postsynaptic terminals in the fan-shaped body, suggesting they receive input within it. To determine the specific sensory neurons and the number of synaptic steps involved, further queries can be made, such as examining the tracts/nerves innervating the fan-shaped body, of which VFB holds [6](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,TractsNervesInnervatingHere \"Run in VFB: Tracts/nerves innervating fan-shaped body\") records, or exploring the lineage clones found in the fan-shaped body, with [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,LineageClonesIn \"Run in VFB: Lineage clones found in fan-shaped body\") records available.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -1608,7 +1611,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1794,
+        "response_chars": 1742,
         "status_count": 7
       }
     },
@@ -1623,7 +1626,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 80676,
+      "duration_ms": 217145,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -1646,12 +1649,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 228,
-      "request_id": "9e177876-21ce-45cf-869f-798a499f3f8d",
-      "response_id": "chatcmpl-199014836a3fc541fb8978567109f297",
+      "event_count": 251,
+      "request_id": "320d02c4-612b-40ae-a60f-0d89c52e93d2",
+      "response_id": "chatcmpl-4e345e06dbe5000b7f7822d8863df315",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The VFB database indicates that there are reciprocal connections between mushroom body output neurons and dopaminergic neurons. According to the VFB findings, there are 5 reciprocal class-level pairs between these two neuron types. The connectome data suggests that these pairs have mutual connectivity, with the top partners having a high partner count, such as 84 and 98. VFB records show target_to_source_weight_pairwise_connections of 35. \n\nTo further investigate the specific connections between mushroom body output neurons and dopaminergic neurons, you can explore the available VFB data, such as the downstream and upstream connectivity classes for both neuron types. For example, VFB holds [29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") records of downstream connectivity classes for mushroom body output neurons and [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records of upstream connectivity classes. Similarly, for dopaminergic neurons, you can query the available data on downstream and upstream connectivity classes. \n\nAdditionally, you can examine the available images, splits, subclasses, scRNAseq data, and transgene expression data for both mushroom body output neurons and dopaminergic neurons to gain more insights into their connectivity and properties.",
+      "response": "The connectome data indicates that there are reciprocal connections between mushroom body output neurons and dopaminergic neurons. VFB records show 5 reciprocal class-level pairs between these two neuron types. The top partners for these connections are not fully specified in the available data, but the evidence suggests a significant number of connections in both directions, with 84 and 98 partner counts mentioned for the [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\") to [dopaminergic neuron](https://www.virtualflybrain.org/reports/FBbt_00005131 \"Open dopaminergic neuron in Virtual Fly Brain\") and related connections. \n\nVFB holds extensive data on both mushroom body output neurons and dopaminergic neurons, including their subclasses, scRNAseq data, transgene expression, and downstream and upstream connectivity classes. For mushroom body output neurons, VFB has annotated [69](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,SubclassesOf \"Run in VFB: Subclasses of MBON\") subclasses, [1](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,anatScRNAseqQuery \"Run in VFB: scRNAseq data for MBON\") scRNAseq dataset, [158](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,TransgeneExpressionHere \"Run in VFB: Transgene expression in MBON\") transgene expressions, [29,859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") downstream connectivity classes, and [23,753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") upstream connectivity classes. For dopaminergic neurons, various data are available, including images, splits, subclasses, scRNAseq data, transgene expressions, and both downstream and upstream connectivity classes, though the exact counts for these can be found by running specific queries.\n\nTo identify the pairs with the strongest mutual connectivity, further analysis of the available connectivity data and partner breakdowns would be necessary.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -1662,7 +1665,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1519,
+        "response_chars": 2275,
         "status_count": 5
       }
     },
@@ -1677,7 +1680,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 15495,
+      "duration_ms": 30617,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -1700,12 +1703,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 250,
-      "request_id": "475d2696-641b-4f5c-ad8b-a8fb8900c433",
-      "response_id": "chatcmpl-11e1a2ce2759f11fcc669dc2f3795833",
+      "event_count": 320,
+      "request_id": "20132696-ffb9-4247-9da5-d33990704766",
+      "response_id": "chatcmpl-ad62e25a54c64915ab29a2e8ba05b7a8",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "To trace a pathway from olfactory receptor neurons to the [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"), we can look at the intermediate neuron types and their connections. According to VFB, antennal lobe projection neurons are intermediate neurons that connect olfactory receptor neurons to the adult lateral horn. The pathway is described as: [olfactory receptor neuron](https://www.virtualflybrain.org/reports/FBbt_00005926 \"Open olfactory receptor neuron in Virtual Fly Brain\") -> antennal lobe projection neuron -> adult lateral horn. \n\nVFB holds various data related to olfactory receptor neurons and the adult lateral horn, including images, splits, subclasses, scRNAseq data, transgene expression, and downstream and upstream connectivity classes for olfactory receptor neurons. For the adult lateral horn, VFB has annotated numerous neurons with some part in the adult lateral horn, neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in the adult lateral horn, as well as tracts/nerves innervating the adult lateral horn, lineage clones, images of neurons, and transgene expression in the adult lateral horn. \n\nTo further explore the connections between olfactory receptor neurons and the adult lateral horn, you can query VFB for specific data, such as downstream connectivity classes for olfactory receptor neurons or neurons with presynaptic terminals in the adult lateral horn.",
+      "response": "To trace a pathway from olfactory receptor neurons to the lateral horn, we can refer to the evidence from VFB. According to VFB, antennal lobe projection neurons are intermediate neurons that connect olfactory receptor neurons to the lateral horn. The high-level pathway supported by VFB is: [olfactory receptor neuron](https://www.virtualflybrain.org/reports/FBbt_00005926 \"Open olfactory receptor neuron in Virtual Fly Brain\") -> antennal lobe projection neuron -> lateral horn.\n\nVFB holds various data related to olfactory receptor neurons and the [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"), including images, splits, subclasses, scRNAseq data, transgene expression, and connectivity classes for olfactory receptor neurons. For the adult lateral horn, VFB has annotated numerous neurons with some part in the adult lateral horn, neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in the adult lateral horn, as well as tracts/nerves innervating the adult lateral horn, lineage clones, images of neurons, and transgene expression data.\n\nThe connectome data indicates that antennal lobe projection neurons play a crucial role in this pathway. VFB records show that these neurons have dendrites that innervate the antennal lobe and axons that innervate higher brain centers, including the mushroom body calyx and/or the lateral horn. \n\nTo further explore the intermediate neuron types and their connections, you can query VFB for downstream connectivity classes for olfactory receptor neurons or neurons with some part in the adult lateral horn. Additionally, you can investigate the transgene expression data in olfactory receptor neurons or the adult lateral horn to identify potential genetic markers for these neurons.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -1716,7 +1719,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1499,
+        "response_chars": 1833,
         "status_count": 5
       }
     },
@@ -1758,7 +1761,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 13250,
+      "duration_ms": 20994,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -1781,12 +1784,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 116,
-      "request_id": "e9d7d57b-5edb-4002-bc9d-08cef228bf39",
-      "response_id": "chatcmpl-0bf37b0b404d4bb0d884aaaae25bdf83",
+      "event_count": 145,
+      "request_id": "fa4b7efd-2269-4038-9233-fbc000ef068b",
+      "response_id": "chatcmpl-b989058ebdeae9eeefbd7b6c890bd347",
       "images_count": 8,
       "graphs_count": 1,
-      "response": "The strongest synaptic input to MBON-gamma1pedc>a/b neuron is from mushroom body intrinsic neuron, with a total weight of 45838, according to the VFB database, as found by the VFB query. The next strongest input is from Kenyon cell, with a total weight of 44880. VFB holds a range of data on [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\"), including downstream and upstream connectivity classes, which may provide further insight into the connectivity of MBON-gamma1pedc>a/b neuron.",
+      "response": "The strongest synaptic input to MBON-gamma1pedc>a/b neuron is from mushroom body intrinsic neurons, with a total weight of 45838, and the next strongest input is from Kenyon cells, with a total weight of 44880, as recorded in VFB. VFB holds a range of data on mushroom body output neurons, including subclasses of MBON, scRNAseq data, transgene expression, and both downstream and upstream connectivity classes. To further explore the connectivity of MBON-gamma1pedc>a/b, you can query VFB for its downstream and upstream connectivity classes, of which VFB has annotated [29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") and [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records, respectively.",
       "graphs": [
         {
           "type": "basic_graph",
@@ -1869,7 +1872,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 576,
+        "response_chars": 933,
         "status_count": 5
       }
     },
@@ -1884,7 +1887,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 12946,
+      "duration_ms": 23496,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -1911,12 +1914,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 215,
-      "request_id": "6f7e27ae-5148-4555-877d-d099e819284e",
-      "response_id": "chatcmpl-c04f96eabc70943a31af0d11bc2c832e",
+      "event_count": 244,
+      "request_id": "fbb79496-1454-42a3-ba1c-3b57733ff7d8",
+      "response_id": "chatcmpl-b68bdd40285484fc27c233080d518dac",
       "images_count": 8,
       "graphs_count": 1,
-      "response": "To determine if the [alpha/beta Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100248 \"Open alpha/beta Kenyon cell in Virtual Fly Brain\") and [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\") converge on the same downstream [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\") types, we can look at the available data on downstream connectivity classes for these cell types. VFB holds downstream connectivity classes for alpha/beta Kenyon cell ([1665](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for KCab\") records) and for gamma Kenyon cell (available, though the exact count is not provided here). Additionally, VFB has annotated a large number of downstream connectivity classes for mushroom body output neuron ([29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") records), which could indicate potential convergence points. \n\nThe specific mushroom body output neuron types that receive input from both alpha/beta Kenyon cell and gamma Kenyon cell are not directly stated in the available information. However, given the extensive connectivity data available for mushroom body output neuron, alpha/beta Kenyon cell, and gamma Kenyon cell, it is possible to explore these connections further by examining the downstream connectivity classes for each cell type in VFB. This could help identify any overlapping or converging connections onto specific mushroom body output neuron types.",
+      "response": "To determine if the alpha/beta Kenyon cells and gamma Kenyon cells converge on the same downstream [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\") types, we can look at the available data on their connectivity. VFB holds downstream connectivity classes for mushroom body output neuron ([29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") records) and upstream connectivity classes for mushroom body output neuron ([23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records), which may indicate the types of Kenyon cells that connect to specific mushroom body output neurons. \n\nVFB also holds downstream connectivity classes for [alpha/beta Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100248 \"Open alpha/beta Kenyon cell in Virtual Fly Brain\") ([1665](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for KCab\") records) and [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\") (available - run this query for the count), as well as upstream connectivity classes for alpha/beta Kenyon cell ([1770](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for KCab\") records) and gamma Kenyon cell (available - run this query for the count). These data may provide insight into which mushroom body output neurons receive input from both alpha/beta Kenyon cells and gamma Kenyon cells.\n\nHowever, without specific query results or further information, we cannot definitively say which mushroom body output neurons receive input from both alpha/beta Kenyon cells and gamma Kenyon cells. The user can run queries on the available data to explore the connectivity between these cell types in more detail.",
       "graphs": [
         {
           "type": "basic_graph",
@@ -2207,7 +2210,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1782,
+        "response_chars": 2199,
         "status_count": 6
       }
     },
@@ -2222,7 +2225,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 16701,
+      "duration_ms": 27710,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -2245,12 +2248,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 263,
-      "request_id": "b1ac82eb-827f-4e20-b0d9-6689783c7d1d",
-      "response_id": "chatcmpl-90c6446fcbd46af40078a26666a9822c",
+      "event_count": 191,
+      "request_id": "30bc2cde-91ed-4922-83e5-8ed69a798505",
+      "response_id": "chatcmpl-317511d443a0772b507b14f112851331",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "The anatomical containment hierarchy from the [antennal lobe glomerulus DA1](https://www.virtualflybrain.org/reports/FBbt_00003932 \"Open antennal lobe glomerulus DA1 in Virtual Fly Brain\") up to the top-level brain structure is provided by VFB. According to VFB, one possible hierarchy is: antennal lobe glomerulus DA1 -> adult olfactory antennal lobe glomerulus -> adult antennal lobe. Another possible hierarchy is: antennal lobe glomerulus DA1 -> antennal lobe -> adult deutocerebrum -> adult cerebrum -> adult central brain. A third possible hierarchy is: antennal lobe glomerulus DA1 -> adult olfactory antennal lobe glomerulus -> adult antennal lobe -> adult deutocerebrum -> adult cerebrum -> adult central brain -> adult brain. \n\nVFB holds various data related to the antennal lobe glomerulus DA1, including neurons with some part in it, neurons with synaptic terminals in it, parts of it, and images of neurons with some part in it. To explore the hierarchy further, you can run queries on these available data, such as the count of neurons with some part in antennal lobe glomerulus DA1 or the count of images of neurons with some part in antennal lobe glomerulus DA1.",
+      "response": "The anatomical containment hierarchy from the [antennal lobe glomerulus DA1](https://www.virtualflybrain.org/reports/FBbt_00003932 \"Open antennal lobe glomerulus DA1 in Virtual Fly Brain\") up to the top-level brain structure, as indicated by the VFB data, is: antennal lobe glomerulus DA1 -> adult olfactory antennal lobe glomerulus -> adult antennal lobe -> adult deutocerebrum -> adult cerebrum -> adult central brain -> adult brain. This information comes from the VFB database, which provides a trace of the containment chain. \n\nTo further explore the structure and connections of the antennal lobe glomerulus DA1, VFB holds various records, including neurons with some part in antennal lobe glomerulus DA1, neurons with synaptic terminals in antennal lobe glomerulus DA1, and parts of antennal lobe glomerulus DA1, among others. The user can run specific queries to obtain the counts for these records.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -2261,7 +2264,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1178,
+        "response_chars": 907,
         "status_count": 5
       }
     },
@@ -2276,7 +2279,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 18357,
+      "duration_ms": 30506,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -2294,10 +2297,6 @@
           "message": "Querying VFB connectivity",
           "phase": "mcp"
         },
-        {
-          "message": "Querying VFB",
-          "phase": "mcp"
-        },
         {
           "message": "Checking the literature",
           "phase": "mcp"
@@ -2307,12 +2306,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 313,
-      "request_id": "448c03f6-bc77-4b5c-bb8f-8245689b7bb4",
-      "response_id": "chatcmpl-0897aab7d8808967691623b74b1530c4",
+      "event_count": 329,
+      "request_id": "635e25c6-0bf2-46f0-bb92-068dc3346311",
+      "response_id": "chatcmpl-b7e75a1a670198defa092efe0bb6a324",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "To determine the neuron types that connect the [adult central complex](https://www.virtualflybrain.org/reports/FBbt_00003632 \"Open adult central complex in Virtual Fly Brain\") to the [lateral accessory lobe on L3 CNS template, Wood2018](https://www.virtualflybrain.org/reports/VFB_00050314 \"Open lateral accessory lobe on L3 CNS template, Wood2018 in Virtual Fly Brain\"), and the strength of these connections, we can look at the available data in VFB. \n\nVFB holds records of neurons with some part in the adult central complex ([363](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central complex\") records) and neurons with some part in the embryonic/larval lateral accessory lobe (available - run the query for the count). Additionally, VFB has annotated neurons with synaptic terminals in the adult central complex ([362](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in adult central complex\") records) and neurons with synaptic terminals in the embryonic/larval lateral accessory lobe (available - run the query for the count). \n\nThe connectome data indicates that neurons with presynaptic terminals in the adult central complex ([209](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in adult central complex\") records) and neurons with postsynaptic terminals in the adult central complex ([208](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in adult central complex\") records) may form connections with other brain regions, including potentially the lateral accessory lobe on L3 CNS template, Wood2018. However, the specific connections between the adult central complex and the lateral accessory lobe on L3 CNS template, Wood2018, and their strengths, are not directly stated in the available data.\n\nTo further investigate the connections between these two brain regions, you can run queries to find neurons with some part in both the adult central complex and the lateral accessory lobe on L3 CNS template, Wood2018, or neurons with synaptic terminals in both regions. The strength of these connections would require more detailed analysis of the connectome data.",
+      "response": "To determine the neuron types that connect the [adult central complex](https://www.virtualflybrain.org/reports/FBbt_00003632 \"Open adult central complex in Virtual Fly Brain\") to the [lateral accessory lobe on L3 CNS template, Wood2018](https://www.virtualflybrain.org/reports/VFB_00050314 \"Open lateral accessory lobe on L3 CNS template, Wood2018 in Virtual Fly Brain\"), and the strength of these connections, we can look at the available data in VFB. \n\nVFB holds records of neurons with some part in the adult central complex ([363](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central complex\") records) and neurons with some part in the embryonic/larval lateral accessory lobe (available - run the query for the count). Additionally, VFB has annotated neurons with synaptic terminals in the adult central complex ([362](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in adult central complex\") records) and neurons with synaptic terminals in the embryonic/larval lateral accessory lobe (available - run the query for the count). \n\nThe connectome data indicates that neurons with presynaptic terminals in the adult central complex ([209](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in adult central complex\") records) and neurons with postsynaptic terminals in the adult central complex ([208](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in adult central complex\") records) may be involved in connections to other brain regions, including potentially the lateral accessory lobe on L3 CNS template, Wood2018. However, the specific neuron types and connection strengths between the adult central complex and the lateral accessory lobe on L3 CNS template, Wood2018 are not directly stated in the available data.\n\nTo further investigate the connections between these two regions, you can run queries to find neurons with some part in both the adult central complex and the embryonic/larval lateral accessory lobe, or neurons with synaptic terminals in both regions. You can also explore the images of neurons with some part in these regions and the parts of the embryonic/larval lateral accessory lobe to gain more insights into their potential connections.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -2323,8 +2322,8 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 2463,
-        "status_count": 7
+        "response_chars": 2554,
+        "status_count": 6
       }
     },
     {
@@ -2338,7 +2337,69 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 22015,
+      "duration_ms": 35640,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB term info",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Finding genetic tools",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 151,
+      "request_id": "2213196d-1296-4cc3-b96a-f9b7d86e987b",
+      "response_id": "chatcmpl-96621b07f187228eeaeb651418413cb9",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "For the [descending neuron of the anterior dorsal brain DNa02](https://www.virtualflybrain.org/reports/FBbt_00047573 \"Open descending neuron of the anterior dorsal brain DNa02 in Virtual Fly Brain\"), VFB holds various data. This includes [18](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,ListAllAvailableImages \"Run in VFB: List all available images of DNa02\") individual images of DNa02, which can be listed. Additionally, there are [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,SplitsTargeting \"Run in VFB: Splits targeting DNa02\") splits targeting DNa02 and 2 transgene expression reports in DNa02, indicating the availability of genetic tools for labeling this neuron type. The connectome data indicates that DNa02 has [636](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNa02\") downstream connectivity classes and [779](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNa02\") upstream connectivity classes. VFB does not currently hold specific information on whether DNa02 data is included in the Hemibrain or FAFB datasets. However, the available data in VFB suggests that there are light microscopy images and driver lines associated with DNa02.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 1433,
+        "status_count": 7
+      }
+    },
+    {
+      "attempt_index": 24,
+      "task_index": 24,
+      "task_id": "T4.1",
+      "tier": 4,
+      "title": "Experimental planning",
+      "question": "I want to study the neural circuit underlying CO2 avoidance in Drosophila. What neurons are involved, how are they connected, and what genetic tools can I use to access them?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 28620,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -2353,69 +2414,327 @@
           "phase": "mcp"
         },
         {
-          "message": "Reading VFB term info",
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
           "phase": "mcp"
         },
         {
-          "message": "Finding genetic tools",
+          "message": "Resolving 1 term in VFB",
           "phase": "mcp"
         },
         {
-          "message": "Writing the answer",
-          "phase": "llm"
-        }
-      ],
-      "event_count": 270,
-      "request_id": "be1e6c97-b2b9-4fa7-8f6d-e09d3eb0e29d",
-      "response_id": "chatcmpl-38622f3856db5d6fcc8418614105261b",
-      "images_count": 8,
-      "graphs_count": 0,
-      "response": "For the [descending neuron of the anterior dorsal brain DNa02](https://www.virtualflybrain.org/reports/FBbt_00047573 \"Open descending neuron of the anterior dorsal brain DNa02 in Virtual Fly Brain\"), VFB holds various data. This includes [18](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,ListAllAvailableImages \"Run in VFB: List all available images of DNa02\") individual images of DNa02, as well as information on splits targeting DNa02, with [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,SplitsTargeting \"Run in VFB: Splits targeting DNa02\") records available. Additionally, there are 2 records of transgene expression in DNa02. The connectome data indicates downstream connectivity classes for DNa02 with [636](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNa02\") records and upstream connectivity classes with [779](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNa02\") records. \n\nRegarding the availability of DNa02 data in specific datasets, VFB does not currently hold specific information on whether DNa02 is included in the Hemibrain or FAFB datasets. \n\nVFB records show that genetic tools available to label DNa02 descending neurons include split-GAL4/intersectional patterns. Specifically, the patterns P{R87D07-GAL4.DBD} ∩ P{R75C10-p65.AD} and P{VT025718-GAL4.DBD} ∩ P{R22C05-p65.AD} are listed. \n\nTo further explore the data available for DNa02, you can run queries such as listing all available images of DNa02, which would return 18 individual images, or exploring the splits, transgene expression, downstream connectivity classes, and upstream connectivity classes for DNa02.",
-      "quality_flags": {
-        "has_tool_status": true,
-        "no_tool_factual_answer": false,
-        "tool_claim_without_tool": false,
-        "disambiguation_only_answer": false,
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-        "graph_failure_mentioned": false,
-        "missing_required_graph": false,
-        "used_data_resource": false,
-        "response_chars": 1875,
-        "status_count": 6
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-    },
-    {
-      "attempt_index": 24,
-      "task_index": 24,
-      "task_id": "T4.1",
-      "tier": 4,
-      "title": "Experimental planning",
-      "question": "I want to study the neural circuit underlying CO2 avoidance in Drosophila. What neurons are involved, how are they connected, and what genetic tools can I use to access them?",
-      "requires_graph": false,
-      "min_graphs": 0,
-      "repetition": 1,
-      "ok": true,
-      "duration_ms": 18266,
-      "status_messages": [
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
         {
-          "message": "Thinking...",
-          "phase": "llm"
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
         },
         {
-          "message": "Planning the answer",
-          "phase": "llm"
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
         },
         {
           "message": "Resolving 1 term in VFB",
           "phase": "mcp"
         },
         {
-          "message": "Querying VFB",
+          "message": "Resolving 1 term in VFB",
           "phase": "mcp"
         },
         {
-          "message": "Querying VFB connectivity",
+          "message": "Resolving 1 term in VFB",
           "phase": "mcp"
         },
         {
@@ -2423,227 +2742,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 297,
-      "request_id": "7a7e77a8-e0d5-45aa-ad3b-cbbc4db57a0e",
-      "response_id": "chatcmpl-fa4ca0f561de8f6fd9fdb32be78e2d6a",
-      "images_count": 8,
-      "graphs_count": 1,
-      "response": "To study the neural circuit underlying CO2 avoidance in Drosophila, you can focus on the carbon dioxide sensitive neurons. According to VFB, these neurons are involved in the detection of carbon dioxide. The connectivity between these neurons involves downstream classes such as GABAergic local interneuron of the adult antennal lobe, adult antennal lobe local neuron lLN2P, and cholinergic local interneuron of the adult antennal lobe. VFB records show that the neural circuit underlying CO2 avoidance in Drosophila involves several neuron types, including adult central brain intrinsic neurons, antennal lobe local neurons, and projection neurons. \n\nVFB has annotated 262 downstream class-connectivity partners for [carbon dioxide sensitive neuron](https://www.virtualflybrain.org/reports/FBbt_00100045 \"Open carbon dioxide sensitive neuron in Virtual Fly Brain\"). The connectome data indicates that carbon dioxide sensitive neurons connect to these various downstream classes. \n\nTo access these neurons, you can use genetic tools such as Gr21a, Gr63a, and E409 expression-pattern tools. VFB holds data on transgene expression in carbon dioxide sensitive neuron, which may be useful for designing experiments. Additionally, VFB has annotated upstream and downstream connectivity classes for carbon dioxide sensitive neuron, as well as scRNAseq data, which may provide further insights into the neural circuit underlying CO2 avoidance. \n\nYou can explore the available data on carbon dioxide sensitive neuron in VFB, including images, splits targeting this neuron, subclasses, and transgene expression data.",
-      "graphs": [
-        {
-          "type": "basic_graph",
-          "version": 1,
-          "title": "Downstream partners of carbon dioxide sensitive neuron",
-          "directed": true,
-          "layout": "circle",
-          "nodes": [
-            {
-              "id": "FBbt_00100045",
-              "label": "carbon dioxide sensitive neuron",
-              "group": null,
-              "color": null,
-              "size": 4
-            },
-            {
-              "id": "FBbt_00047095",
-              "label": "adult neuron",
-              "group": null,
-              "color": null,
-              "size": 1.37
-            },
-            {
-              "id": "FBbt_00005106",
-              "label": "neuron",
-              "group": null,
-              "color": null,
-              "size": 1.37
-            },
-            {
-              "id": "FBbt_00059271",
-              "label": "CNS neuron",
-              "group": null,
-              "color": null,
-              "size": 1.33
-            },
-            {
-              "id": "FBbt_00059245",
-              "label": "adult central brain intrinsic neuron",
-              "group": null,
-              "color": null,
-              "size": 1.17
-            },
-            {
-              "id": "FBbt_00052874",
-              "label": "antennal lobe local neuron",
-              "group": null,
-              "color": null,
-              "size": 1.17
-            },
-            {
-              "id": "FBbt_00007390",
-              "label": "adult antennal lobe local neuron",
-              "group": null,
-              "color": null,
-              "size": 1.17
-            },
-            {
-              "id": "FBbt_00051493",
-              "label": "local neuron",
-              "group": null,
-              "color": null,
-              "size": 1.17
-            },
-            {
-              "id": "FBbt_00050025",
-              "label": "adult ALl1 lineage neuron",
-              "group": null,
-              "color": null,
-              "size": 1.16
-            },
-            {
-              "id": "FBbt_00100660",
-              "label": "BAlc lineage neuron",
-              "group": null,
-              "color": null,
-              "size": 1.16
-            },
-            {
-              "id": "FBbt_00053396",
-              "label": "input/output neuron",
-              "group": null,
-              "color": null,
-              "size": 1.16
-            },
-            {
-              "id": "FBbt_00007392",
-              "label": "projection neuron",
-              "group": null,
-              "color": null,
-              "size": 1.16
-            },
-            {
-              "id": "FBbt_00067123",
-              "label": "adult antennal lobe projection neuron",
-              "group": null,
-              "color": null,
-              "size": 1.16
-            },
-            {
-              "id": "FBbt_00007422",
-              "label": "antennal lobe projection neuron",
-              "group": null,
-              "color": null,
-              "size": 1.16
-            },
-            {
-              "id": "FBbt_00049427",
-              "label": "adult lateral horn input neuron",
-              "group": null,
-              "color": null,
-              "size": 1.15
-            },
-            {
-              "id": "FBbt_00053398",
-              "label": "adult antennal lobe projection neuron to lateral horn",
-              "group": null,
-              "color": null,
-              "size": 1.15
-            }
-          ],
-          "edges": [
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00047095",
-              "label": "59488",
-              "weight": 59488
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00005106",
-              "label": "59488",
-              "weight": 59488
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00059271",
-              "label": "52181",
-              "weight": 52181
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00059245",
-              "label": "26591",
-              "weight": 26591
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00052874",
-              "label": "26576",
-              "weight": 26576
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00007390",
-              "label": "26576",
-              "weight": 26576
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00051493",
-              "label": "26576",
-              "weight": 26576
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00050025",
-              "label": "26391",
-              "weight": 26391
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00100660",
-              "label": "26391",
-              "weight": 26391
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00053396",
-              "label": "25431",
-              "weight": 25431
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00007392",
-              "label": "25428",
-              "weight": 25428
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00067123",
-              "label": "25419",
-              "weight": 25419
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00007422",
-              "label": "25419",
-              "weight": 25419
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00049427",
-              "label": "24849",
-              "weight": 24849
-            },
-            {
-              "source": "FBbt_00100045",
-              "target": "FBbt_00053398",
-              "label": "24849",
-              "weight": 24849
-            }
-          ]
-        }
-      ],
+      "event_count": 280,
+      "request_id": "7aab3100-5ee0-4eb4-a634-011addde4c85",
+      "response_id": "chatcmpl-3dabede15f9ce66e47527dd92d791a9c",
+      "images_count": 0,
+      "graphs_count": 0,
+      "response": "To study the neural circuit underlying CO2 avoidance in Drosophila, you would need to identify the specific neurons involved in this behavior. VFB does not currently hold data on the exact neurons involved in CO2 avoidance in Drosophila. \n\nThe connectome data may indicate connectivity between certain neurons, but without specific information on CO2 avoidance, it is unclear which neurons are relevant. \n\nVFB holds various records on Drosophila neurons and their connections, but without more specific information, it is difficult to determine which neurons are involved in CO2 avoidance. \n\nYou may be able to use genetic tools such as GAL4 drivers or Split-GAL4 to access specific neurons, but the choice of tool would depend on the identity of the neurons involved, which is not currently specified in VFB. \n\nFurther queries on VFB, such as searching for neurons with specific anatomical or functional properties, may help to identify the relevant neurons and their connections.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -2654,8 +2758,8 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1607,
-        "status_count": 6
+        "response_chars": 981,
+        "status_count": 85
       }
     },
     {
@@ -2669,7 +2773,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 39964,
+      "duration_ms": 87538,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -2700,12 +2804,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 418,
-      "request_id": "4d749f6a-2edb-41b3-9b3a-b07df59a7059",
-      "response_id": "chatcmpl-8fc2f645fdde195ef148e240adc129f0",
+      "event_count": 510,
+      "request_id": "47cd3b91-3901-49c0-b2d5-bc6829e1df0e",
+      "response_id": "chatcmpl-cd7faa3db22b13c9bf6cef22fa01365d",
       "images_count": 8,
       "graphs_count": 1,
-      "response": "The [giant fiber neuron](https://www.virtualflybrain.org/reports/FBbt_00004020 \"Open giant fiber neuron in Virtual Fly Brain\") is a large adult descending neuron that controls jump escape behavior, with a large cell body located posterior to the lower protocerebrum and a large descending axon that enters the cervical connective via the posterior cerebro-cervical fascicle, as described by Thomas and Wyman (1984). There is one of these cells per hemisphere, according to Koto et al. (1981), Namiki et al. (2018), and Sturner et al. (2025). The giant fiber neuron can be identified by its large descending axon, which is several times larger than any other axon in the cervical connective, as noted by Power (1948) and Koto et al. (1981).\n\nVFB holds various data related to the giant fiber neuron, including [23](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,ListAllAvailableImages \"Run in VFB: List all available images of DNp01\") images of DNp01, [5](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,SplitsTargeting \"Run in VFB: Splits targeting DNp01\") splits targeting DNp01, and [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,TransgeneExpressionHere \"Run in VFB: Transgene expression in DNp01\") records of transgene expression in DNp01. The downstream connectivity classes for DNp01 are represented by [389](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNp01\") records, while the upstream connectivity classes for DNp01 are represented by [472](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNp01\") records.\n\nThe giant fiber neuron is also associated with specific genetic tools and expression patterns, with VFB returning 10 genetic tool/expression pattern rows for the giant fiber neuron. It is considered a primary neuron, as mentioned in publications by Allen et al. (1998), Dorkenwald et al. (2024), and Schlegel et al. (2024).\n\nRelevant publications for the giant fiber neuron include those by Thomas and Wyman (1984), Koto et al. (1981), Namiki et al. (2018), Power (1948), Allen et al. (1998), Dorkenwald et al. (2024), and Schlegel et al. (2024), among others. \n\nTo further explore the giant fiber neuron, you can examine the available images, splits, and transgene expression records, as well as the downstream and upstream connectivity classes.",
+      "response": "The [giant fiber neuron](https://www.virtualflybrain.org/reports/FBbt_00004020 \"Open giant fiber neuron in Virtual Fly Brain\") is a large adult descending neuron that controls jump escape behavior. According to VFB, it has a unique anatomy and connectivity, with one cell per hemisphere, and its large cell body is located posterior to the lower protocerebrum. The giant fiber neuron can be identified by its large descending axon, which is several times larger than any other axon in the cervical connective. It enters the cervical connective via the posterior cerebro-cervical fascicle and descends on the ipsilateral side, in the dorsal cervical fasciculus. In the brain, it has dendritic arborization in the ipsilateral zones A and B of the antennal mechanosensory and motor center, where it receives substantial input from zone A and B Johnston organ neurons. It also arborizes in the posterior ventrolateral protocerebrum and gorget. The giant fiber neuron forms electrical synapses with downstream motor and premotor neurons at the inframedial bridge, where the two giant fiber neurons connect across the midline, and at the axonal lateral bend.\n\nVFB records show that the giant fiber neuron is a primary neuron. Available driver lines include [P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0121835FBtp0118557 \"Open P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern in Virtual Fly Brain\"), [P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0116198FBtp0118471 \"Open P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern in Virtual Fly Brain\"), [P{GMR91H05-GAL4} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0064022 \"Open P{GMR91H05-GAL4} expression pattern in Virtual Fly Brain\"), [P{GMR79D08-GAL4} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0063022 \"Open P{GMR79D08-GAL4} expression pattern in Virtual Fly Brain\"), [P{GMR78G07-GAL4} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0062972 \"Open P{GMR78G07-GAL4} expression pattern in Virtual Fly Brain\").\n\nThe connectivity of the giant fiber neuron can be described based on the available data. VFB holds [389](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNp01\") records of downstream connectivity classes for the giant fiber neuron and [472](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNp01\") records of upstream connectivity classes. \n\nRelevant publications include Thomas and Wyman (1984), Koto et al. (1981), Namiki et al. (2018), Power (1948), Ito et al. (2014), Kamikouchi et al. (2009), Matsuo et al. (2016), Kim et al. (2020), King and Wyman (1980), Allen et al. (1998), Kennedy and Broadie (2018). \n\nVFB has annotated [23](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,ListAllAvailableImages \"Run in VFB: List all available images of DNp01\") images of the giant fiber neuron, [5](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,SplitsTargeting \"Run in VFB: Splits targeting DNp01\") splits targeting it, and [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,TransgeneExpressionHere \"Run in VFB: Transgene expression in DNp01\") transgene expression patterns in this neuron.",
       "graphs": [
         {
           "type": "basic_graph",
@@ -2931,7 +3035,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 2573,
+        "response_chars": 3561,
         "status_count": 7
       }
     },
@@ -2946,7 +3050,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 15907,
+      "duration_ms": 30068,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -2969,12 +3073,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 213,
-      "request_id": "82b42ee7-dece-46ce-a210-220fcf8f58d9",
-      "response_id": "chatcmpl-684bac9cbd5c3a6609dedce19c0b3473",
+      "event_count": 245,
+      "request_id": "bd847922-e5b5-4cdb-b57c-8b193c30b20f",
+      "response_id": "chatcmpl-7c01230d97dca6bcbd9eacb5f6306c47",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The connectome data indicates that neuron types that might mediate a connection between the [visual system](https://www.virtualflybrain.org/reports/FBbt_00047735 \"Open visual system in Virtual Fly Brain\") and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") include those with presynaptic terminals in the mushroom body, such as larval antennal lobe multiglomerular projection neurons and larval uniglomerular projection neurons. VFB records show that adult visual projection neurons mediate the connection between the visual system and the mushroom body, with these neurons having presynaptic terminals in the mushroom body. VFB has annotated [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") neuron types with presynaptic terminals in the mushroom body and [690](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in visual system\") neuron types with presynaptic terminals in the visual system. This suggests that visual information could reach the memory circuit via these neuron types. To further investigate the connection between the visual system and the mushroom body, you can explore the available VFB data, such as the [1046](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPartHere \"Run in VFB: Neurons with some part in visual system\") neurons with some part in the visual system, the [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body, or the [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,TractsNervesInnervatingHere \"Run in VFB: Tracts/nerves innervating mushroom body\") tracts/nerves innervating the mushroom body.",
+      "response": "Based on connectivity data from VFB, several neuron types might mediate a connection between the [visual system](https://www.virtualflybrain.org/reports/FBbt_00047735 \"Open visual system in Virtual Fly Brain\") and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\"). These include [[adult optic lobe-calycal tract](https://www.virtualflybrain.org/reports/FBbt_00048333 \"Open adult optic lobe-calycal tract in Virtual Fly Brain\") 1](https://www.virtualflybrain.org/reports/FBbt_00048337 \"Open adult optic lobe-calycal tract 1 in Virtual Fly Brain\"), [adult optic lobe-calycal tract 2](https://www.virtualflybrain.org/reports/FBbt_00048338 \"Open adult optic lobe-calycal tract 2 in Virtual Fly Brain\"), [adult optic lobe-calycal tract 3](https://www.virtualflybrain.org/reports/FBbt_00048339 \"Open adult optic lobe-calycal tract 3 in Virtual Fly Brain\"), and adult optic lobe-calycal tract, as well as [adult subesophageal-calycal tract](https://www.virtualflybrain.org/reports/FBbt_00048334 \"Open adult subesophageal-calycal tract in Virtual Fly Brain\"). Additionally, VFB records show that neurons such as [AVLP391](https://www.virtualflybrain.org/reports/FBbt_20000500 \"Open AVLP391 in Virtual Fly Brain\"), [Dm8b](https://www.virtualflybrain.org/reports/FBbt_00110069 \"Open Dm8b in Virtual Fly Brain\"), [MC](https://www.virtualflybrain.org/reports/FBbt_00111640 \"Open MC in Virtual Fly Brain\"), and [PLP031](https://www.virtualflybrain.org/reports/FBbt_20001531 \"Open PLP031 in Virtual Fly Brain\") have some part in the visual system and could potentially mediate this connection. Furthermore, VFB has an adult visual projection neuron to the mushroom body class, which has presynaptic terminals in the mushroom body, indicating a potential pathway for visual information to reach the mushroom body. VFB holds records of [1046](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPartHere \"Run in VFB: Neurons with some part in visual system\") neuron types with some part in the visual system and [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neuron types with some part in the mushroom body, providing a basis for exploring the potential connections between these systems. The connectome data indicates that visual information could reach the memory circuit via these neuron types, but the specific details of this connection would require further examination of the available data.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -2985,7 +3089,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 2041,
+        "response_chars": 2591,
         "status_count": 5
       }
     },
@@ -3000,7 +3104,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 17330,
+      "duration_ms": 26905,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -3027,12 +3131,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 246,
-      "request_id": "c0b72dd1-be69-43bf-ae79-2de5f464dd22",
-      "response_id": "chatcmpl-c37c34f53e031651896d6dd09778bf3b",
+      "event_count": 255,
+      "request_id": "cdc04eea-f341-4fc0-ae99-f490706649e0",
+      "response_id": "chatcmpl-7906c2727adadc98c51978f7e9d114bc",
       "images_count": 2,
       "graphs_count": 1,
-      "response": "To compare the downstream targets of the two main types of clock neurons, [s-LNv](https://www.virtualflybrain.org/reports/VFB_jrch04kn \"Open s-LNv in Virtual Fly Brain\") and [l-LNv](https://www.virtualflybrain.org/reports/VFB_jrch0frv \"Open l-LNv in Virtual Fly Brain\"), and determine if they converge on any common target neuron types, we would need to examine the connectivity data of these neurons. However, VFB does not currently hold data on the specific downstream targets of s-LNv and l-LNv neurons or their potential overlap. \n\nFor information on the connectivity of these neurons, you can query the VFB database using specific neuron types. VFB holds a range of data on Drosophila neuroscience, including neuron connectivity, which can be accessed through targeted queries. \n\nTo find out if s-LNv and l-LNv neurons share common target neuron types, you would need to look at the connectome data or specific studies focusing on the clock neuron circuitry in Drosophila. without specific evidence or data from the VFB database or cited publications, we cannot provide a detailed comparison of their downstream targets at this time. \n\nYou can explore the VFB database further to see if any relevant data or tools are available for analyzing the connectivity patterns of s-LNv and l-LNv neurons.",
+      "response": "To compare the downstream targets of the two main types of clock neurons, [s-LNv](https://www.virtualflybrain.org/reports/VFB_jrch04kn \"Open s-LNv in Virtual Fly Brain\") and [l-LNv](https://www.virtualflybrain.org/reports/VFB_jrch0frv \"Open l-LNv in Virtual Fly Brain\"), and determine if they converge on any common target neuron types, we would need to examine the connectivity data of these neurons. However, VFB does not currently hold specific data on the downstream targets of s-LNv and l-LNv neurons that can be used for a direct comparison. \n\nThe connectome data indicates specific connections between neuron types, but without access to this data for s-LNv and l-LNv, we cannot determine their downstream targets or any potential overlap. VFB holds various records on Drosophila neuron types and their connections, but the specific information on the convergence of s-LNv and l-LNv downstream targets is not available in the provided evidence. \n\nFor a detailed comparison, one would typically consult the connectome data or specific studies focusing on the clock neurons' circuitry in Drosophila. Since the provided evidence does not include such data, we cannot conclude whether s-LNv and l-LNv converge on common target neuron types. Further queries into the VFB database or consultation of specific neuroscience literature would be necessary to address this question accurately.",
       "graphs": [
         {
           "type": "basic_graph",
@@ -3323,7 +3427,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1300,
+        "response_chars": 1389,
         "status_count": 6
       }
     },
@@ -3338,7 +3442,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 14460,
+      "duration_ms": 25761,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -3365,12 +3469,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 208,
-      "request_id": "96a2a959-ae3d-4c35-8a15-d0f1030bfb8a",
-      "response_id": "chatcmpl-b3cf8ef0c72b562c3143c136da8a4cdc",
+      "event_count": 225,
+      "request_id": "becfa7f1-f391-4eac-8e5a-d37cb45ff52b",
+      "response_id": "chatcmpl-882f9ca38fe978a9577bb6629df425f2",
       "images_count": 8,
       "graphs_count": 1,
-      "response": "The connectivity between thermosensory neurons and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") is supported by evidence from VFB, which suggests that thermosensory projection neurons relay temperature-detecting neurons to higher brain centers, including the mushroom body. This connectivity implies that temperature information could influence memory formation, as thermosensory projection neurons may provide input to the mushroom body, a structure known for its role in memory and learning. VFB holds various records related to thermosensory neurons, including downstream and upstream connectivity classes, as well as transgene expression and subclasses. For the mushroom body, VFB has annotated numerous neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals within this structure, in addition to parts, subclasses, and tracts/nerves innervating it. To further explore the relationship between thermosensory neurons and the mushroom body, one could examine the specific downstream connectivity classes for thermosensory neurons or investigate the neurons with presynaptic terminals in the mushroom body.",
+      "response": "The connectivity between thermosensory neurons and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") is supported by VFB evidence, which suggests that thermosensory projection neurons relay temperature-detecting neurons to higher brain centers, including the mushroom body. This evidence indicates a plausible thermosensory influence on mushroom-body memory circuitry through thermosensory projection neurons. VFB holds various records related to thermosensory neurons, including downstream connectivity classes, and for the mushroom body, VFB has annotated numerous neurons with some part in the mushroom body, as well as parts of the mushroom body and tracts/nerves innervating it. The available VFB data includes downstream connectivity classes for [thermosensory neuron](https://www.virtualflybrain.org/reports/FBbt_00005918 \"Open thermosensory neuron in Virtual Fly Brain\") and neurons with some part in mushroom body, which can be further explored to understand the connectivity between these two entities. \n\nTo further investigate the relationship between thermosensory neurons and the mushroom body, you can query VFB for specific data, such as the subclasses of thermosensory neuron, transgene expression in thermosensory neuron, or neurons with synaptic terminals in mushroom body.",
       "graphs": [
         {
           "type": "basic_graph",
@@ -3596,7 +3700,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1207,
+        "response_chars": 1358,
         "status_count": 6
       }
     },
@@ -3611,7 +3715,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 24787,
+      "duration_ms": 40125,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -3633,25 +3737,17 @@
           "message": "Finding genetic tools",
           "phase": "mcp"
         },
-        {
-          "message": "Querying VFB",
-          "phase": "mcp"
-        },
-        {
-          "message": "Querying VFB connectivity",
-          "phase": "mcp"
-        },
         {
           "message": "Writing the answer",
           "phase": "llm"
         }
       ],
-      "event_count": 291,
-      "request_id": "70ac89fc-9545-41e7-b06d-be7a995fadc8",
-      "response_id": "chatcmpl-24ef8727f9082d6a8e9151c1720ce171",
+      "event_count": 272,
+      "request_id": "2946d03b-d324-4e81-ba98-125df0c8f072",
+      "response_id": "chatcmpl-4f496ed4fafee655ade73a7693741a7b",
       "images_count": 1,
       "graphs_count": 0,
-      "response": "The [subesophageal zone](https://www.virtualflybrain.org/reports/FBbt_00051068 \"Open subesophageal zone in Virtual Fly Brain\") is a region of interest in Drosophila neuroscience. VFB holds various data related to this region. For neuron types, VFB has annotated neurons with some part in the subesophageal zone, and the number of these can be found by running the relevant query. \n\nConnectomics data is available for the subesophageal zone, as indicated by the verbatim reference to \"Larva|Nervous_system” and “Adult|Nervous_system” from a VFB query. This suggests that there is connectivity information for the subesophageal zone in both larval and adult stages.\n\nGenetic tools for SEZ neurons are also available, including GAL4 drivers and binary/intersectional drivers, with VFB returning 4205 genetic tool/expression pattern rows for the subesophageal zone. \n\nTo further explore the subesophageal zone, you can use VFB to list all available images of the subesophageal zone, explore parts of the subesophageal zone, or examine subclasses of the subesophageal zone. Additionally, you can query transgene expression in the subesophageal zone to find more specific genetic tools. \n\nVFB has annotated a range of data relevant to the subesophageal zone, but the exact nature and extent of this data can be determined by running the relevant queries.",
+      "response": "The [subesophageal zone](https://www.virtualflybrain.org/reports/FBbt_00051068 \"Open subesophageal zone in Virtual Fly Brain\") is characterised in VFB with available data on neuron types and connectomics. VFB records show that neurons with some part in the subesophageal zone can be queried for their count, which would provide information on the types of neurons present in this region. Additionally, transgene expression in the subesophageal zone can also be queried for its count, providing data on the genetic tools available for studying this region. \n\nThe connectome data indicates that connectivity information for the subesophageal zone can be explored through VFB. VFB holds records of parts of the subesophageal zone and subclasses of the subesophageal zone, which can be used to further understand the region's structure and organization.\n\nVFB has annotated 4205 genetic tool/expression pattern rows for the subesophageal zone, including GAL4 drivers and binary/intersectional drivers, which can be used to study SEZ neurons. To access more specific information on the neuron types, connectomics data, and genetic tools available for the subesophageal zone, you can run the available queries in VFB, such as NeuronsPartHere and TransgeneExpressionHere. VFB does not currently hold pre-counted data on these aspects, but running these queries can provide the desired information.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -3662,8 +3758,8 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1348,
-        "status_count": 8
+        "response_chars": 1389,
+        "status_count": 6
       }
     },
     {
@@ -3677,7 +3773,7 @@
       "min_graphs": 1,
       "repetition": 1,
       "ok": false,
-      "duration_ms": 15721,
+      "duration_ms": 22951,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -3699,25 +3795,17 @@
           "message": "Querying VFB",
           "phase": "mcp"
         },
-        {
-          "message": "Querying VFB",
-          "phase": "mcp"
-        },
-        {
-          "message": "Checking the literature",
-          "phase": "mcp"
-        },
         {
           "message": "Writing the answer",
           "phase": "llm"
         }
       ],
-      "event_count": 225,
-      "request_id": "a81582cc-e273-4506-8c60-c905e6b4163f",
-      "response_id": "chatcmpl-a3650c01c2e1e1082f0ca136f0a36974",
+      "event_count": 328,
+      "request_id": "3f256345-39e0-44ef-b0ad-04015078af2f",
+      "response_id": "chatcmpl-21b4f09b6d47808475a6add2eda54297",
       "images_count": 4,
       "graphs_count": 0,
-      "response": "To describe the class summarised connectivity from the [medulla](https://www.virtualflybrain.org/reports/FBbt_00003748 \"Open medulla in Virtual Fly Brain\"), we can look at the types of neurons and their synaptic connections within this region. VFB holds data on neurons with some part in medulla, as well as those with presynaptic and postsynaptic terminals in medulla. \n\nThe connectivity from the medulla can be understood by examining the neurons that have synaptic terminals in this region. VFB has annotated neurons with presynaptic terminals in medulla and neurons with postsynaptic terminals in medulla, which can provide insight into the incoming and outgoing connections. \n\nAdditionally, VFB holds data on parts of medulla and subclasses of medulla, which may help in understanding the organization and connectivity within this region. The tracts and nerves innervating medulla, also available in VFB, can further elucidate the connections between medulla and other parts of the nervous system.\n\nBy examining these different types of data, it is possible to summarize the connectivity from the medulla and understand how it relates to other regions of the Drosophila nervous system.",
+      "response": "To understand the class summarised connectivity from the [medulla](https://www.virtualflybrain.org/reports/FBbt_00003748 \"Open medulla in Virtual Fly Brain\"), we can look at the available data in VFB. VFB holds records of Neurons with some part in medulla, Neurons with synaptic terminals in medulla, Neurons with presynaptic terminals in medulla, and Neurons with postsynaptic terminals in medulla. The connectome data indicates that these neurons have specific connections. \n\nThe medulla's connectivity can be summarised by examining the neurons that have some part in the medulla, as well as those with synaptic, presynaptic, and postsynaptic terminals in the medulla. VFB records show that there are neurons with these characteristics, but the exact nature of their connections would depend on the specific query results. \n\nFor example, running the query for Neurons with some part in medulla would provide a list of neurons that are connected to the medulla, while running the query for Neurons with synaptic terminals in medulla would provide information on the specific synaptic connections within the medulla. Similarly, queries for presynaptic and postsynaptic terminals would provide more detailed information on the direction of these connections. \n\nVFB has annotated a number of these records, and the specific counts can be obtained by running the respective queries. The available data includes images of neurons with some part in medulla, which could provide visual information on the connectivity. \n\nTo further understand the class summarised connectivity from the medulla, one could run the available queries in VFB and examine the results. This would provide more detailed information on the specific neurons and connections involved.",
       "error": "Expected at least 1 graph(s), received 0.",
       "quality_flags": {
         "has_tool_status": true,
@@ -3729,8 +3817,8 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": true,
         "used_data_resource": false,
-        "response_chars": 1190,
-        "status_count": 8
+        "response_chars": 1752,
+        "status_count": 6
       }
     },
     {
@@ -3744,7 +3832,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 7356,
+      "duration_ms": 12600,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -3771,12 +3859,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 164,
-      "request_id": "d5b31f6e-23d0-40a5-9036-1c534ca72470",
-      "response_id": "chatcmpl-c726d9e8765a7d982c2b9adfbab017a4",
+      "event_count": 170,
+      "request_id": "930eddcc-2221-488f-a2be-af9cc6f2f78f",
+      "response_id": "chatcmpl-d2c8cbd8fab1f02985618bdec37228a2",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "Virtual Fly Brain is a database for Drosophila neuroscience. It is intended for researchers in the field of Drosophila neuroscience. \n\nVFB holds various data related to Drosophila neuroscience, including information on genes such as [fkh](https://www.virtualflybrain.org/reports/FBgn0000659 \"Open fkh in Virtual Fly Brain\"). For fkh, VFB has annotated several types of data, including parts of fkh, subclasses of fkh, clusters expressing fkh, and fly stocks for fkh. The exact number of records for each of these types can be found by running the corresponding query in VFB. \n\nHowever, I could not find any specific information on who Virtual Fly Brain is intended for or what its purpose is beyond being a database for Drosophila neuroscience, as there is no provided evidence or general training knowledge on this topic.",
+      "response": "Virtual Fly Brain is a database and online resource for Drosophila neuroscience. It appears to be designed for users who are interested in exploring and analyzing the neural structures and functions of the fruit fly, Drosophila melanogaster. \n\nAs for who it is for, Virtual Fly Brain seems to be intended for researchers and scientists in the field of neuroscience, particularly those who study Drosophila. However, without more specific information, it is uncertain who the exact target audience is.\n\nThe AVAILABLE VFB DATA shows that there are various types of data available related to the term \"[fkh](https://www.virtualflybrain.org/reports/FBgn0000659 \"Open fkh in Virtual Fly Brain\")\", including parts of fkh, subclasses of fkh, clusters expressing fkh, and fly stocks for fkh. Running the respective queries can provide the counts of records VFB holds for each of these categories.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -3787,7 +3875,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 822,
+        "response_chars": 888,
         "status_count": 6
       }
     },
@@ -3802,7 +3890,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 7314,
+      "duration_ms": 12097,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -3829,12 +3917,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 114,
-      "request_id": "40c28dbb-f6b8-4cfb-ab21-825d3773f57f",
-      "response_id": "chatcmpl-fecba5fd2ee1f224b1c4d0513ea2813c",
+      "event_count": 71,
+      "request_id": "5e63e340-64c6-4779-9f45-074adbe6c058",
+      "response_id": "chatcmpl-44363fb4cf8d914b7b765d9084e6484a",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "To cite Virtual Fly Brain in a publication, I recommend checking the Virtual Fly Brain website for guidance on citation, as it may provide specific instructions or recommendations for acknowledging the resource in scholarly work. My general training knowledge suggests that citing a database like Virtual Fly Brain typically involves including the name of the database, the version or date accessed (if applicable), and possibly a DOI or URL if provided. However, without specific information from Virtual Fly Brain or a relevant publication, I am uncertain about the exact format or details required for a proper citation.",
+      "response": "To cite Virtual Fly Brain in a publication, you should consult the Virtual Fly Brain documentation for the most up-to-date citation information. VFB does not currently hold specific citation guidelines in the available data. You may need to look for a general citation guide or contact the Virtual Fly Brain team directly for the most accurate information.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -3845,7 +3933,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 623,
+        "response_chars": 356,
         "status_count": 6
       }
     },
@@ -3860,7 +3948,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 5651,
+      "duration_ms": 9309,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -3887,12 +3975,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 27,
-      "request_id": "1ed9d2b8-aab7-41d7-81fa-af277239bec6",
-      "response_id": "chatcmpl-559af97ce0d337de2daf8a4f8ae67010",
+      "event_count": 22,
+      "request_id": "bfa1c099-1a79-4385-a304-a051cc208237",
+      "response_id": "chatcmpl-c277b543e5cce9b5324715f67a3654a5",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "VFB does not currently hold information on who funds Virtual Fly Brain or the duration of the funding.",
+      "response": "VFB does not currently hold data on the funding of Virtual Fly Brain.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -3903,7 +3991,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 102,
+        "response_chars": 69,
         "status_count": 6
       }
     },
@@ -3918,7 +4006,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 6643,
+      "duration_ms": 8356,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4094,8 +4182,8 @@
         }
       ],
       "event_count": 59,
-      "request_id": "3c0c10a5-59f7-4b7b-9d9b-66905c96c71c",
-      "response_id": "chatcmpl-b8772a40506b9cd635477efd7c32085f",
+      "request_id": "deca3091-7640-46d6-90da-f0f2f1dc7937",
+      "response_id": "chatcmpl-80d4920b7a81fdc9dad83d8338fdd91d",
       "images_count": 0,
       "graphs_count": 0,
       "response": "VFB does not currently hold data on Virtual Fly Brain's accessibility statement.",
@@ -4124,7 +4212,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 1191,
+      "duration_ms": 2402,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4136,22 +4224,22 @@
         }
       ],
       "event_count": 3,
-      "request_id": "41d9d6f1-4a78-405e-a547-406ca354d1a8",
-      "response_id": "local-41d9d6f1-4a78-405e-a547-406ca354d1a8",
+      "request_id": "fced183e-c199-4d43-93aa-7a7626eb9b30",
+      "response_id": "local-fced183e-c199-4d43-93aa-7a7626eb9b30",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "What specific problem or data contribution are you referring to?",
+      "response": "What specific problem or data do you want to report or contribute to Virtual Fly Brain?",
       "quality_flags": {
         "has_tool_status": false,
-        "no_tool_factual_answer": false,
-        "tool_claim_without_tool": false,
+        "no_tool_factual_answer": true,
+        "tool_claim_without_tool": true,
         "disambiguation_only_answer": false,
         "investigation_plan_answer": false,
         "not_verified_or_no_results_answer": false,
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 64,
+        "response_chars": 87,
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     },
@@ -4166,7 +4254,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 8335,
+      "duration_ms": 15080,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4189,12 +4277,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 121,
-      "request_id": "01f015bc-af49-401c-8b8e-7272595d8944",
-      "response_id": "chatcmpl-289c69bfd29172044c024df269b3c136",
+      "event_count": 101,
+      "request_id": "c6fb563a-3f17-4d5e-beb0-8639b27dae2f",
+      "response_id": "chatcmpl-3dcb73597f939022005d5ac6018230a1",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "To use the 3D Viewer on the VFB website, you can follow these steps: point and click to select neurons or expression, click and drag or use the directional icons to rotate or move, use the zoom icons or scroll to zoom in or out, and use the camera icon to start or stop rotation animation of the scene. This information comes from the VFB documentation, which provides a guide on how to use the 3D Viewer feature. VFB does not currently hold additional data on using the 3D Viewer beyond what is described in the documentation.",
+      "response": "To use the 3D Viewer on the VFB website, you can follow these steps: point and click to select neurons or expression, click and drag or use the directional icons to rotate or move, use the zoom icons or scroll to zoom in or out, and use the camera icon to start or stop a rotation animation of the scene. This information comes from the Virtual Fly Brain documentation, which provides guidance on the website's features, including the 3D Viewer.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -4205,7 +4293,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 527,
+        "response_chars": 445,
         "status_count": 5
       }
     },
@@ -4220,7 +4308,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 10002,
+      "duration_ms": 13961,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4395,12 +4483,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 160,
-      "request_id": "72c0d0be-9d65-41a9-b925-ff6000034d7d",
-      "response_id": "chatcmpl-85d8b3192e70b90082dc39ace0425255",
+      "event_count": 162,
+      "request_id": "882c201c-d43f-4aea-a726-df323d82fa05",
+      "response_id": "chatcmpl-8198f14544510221638f6911a1d6cd27",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "The Circuit Browser tab on Virtual Fly Brain is a feature that enables users to find the strongest paths from one neuron to another. According to the documentation, it allows users to specify a source neuron and a target neuron, and then it identifies the strongest paths between them. To use the Circuit Browser, users can refer to the documentation available on the Virtual Fly Brain website, which provides guidance on how to navigate and utilize this feature. VFB does not currently hold specific step-by-step usage instructions or tutorials within its database, but the documentation provides detailed information on the Circuit Browser's functionality.",
+      "response": "The Circuit Browser tab on VFB is a feature that allows you to find the strongest paths from one neuron to another, with the source neuron and target neuron defined in the query. This information comes from the VFB documentation. To use it, you can refer to the documentation available on the VFB website, which provides a guide on how to utilize the Circuit Browser tab. VFB does not currently hold specific step-by-step usage instructions in the available data, but the documentation at https://www.virtualflybrain.org/docs/website-features/circuitbrowser can be consulted for more information.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -4411,7 +4499,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 658,
+        "response_chars": 596,
         "status_count": 43
       }
     },
@@ -4426,7 +4514,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 13144,
+      "duration_ms": 23567,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4602,11 +4690,11 @@
         }
       ],
       "event_count": 179,
-      "request_id": "c5932d67-19c8-4e81-aa64-38663c1bc304",
-      "response_id": "chatcmpl-23905438677f695e2f052bfadd9ee889",
+      "request_id": "087cd693-3c3f-4975-a9b0-b113728692fd",
+      "response_id": "chatcmpl-f3d61d6e580e5b6d6778ba3f32b6db89",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "NBLAST is a method to quantify morphological similarity, as stated in the documentation. According to this documentation, its similarity score is calculated by finding the closest tangent vector in the target neuron for each tangent vector in the query neuron, with the final score being the sum over all query-target vector pairs, typically normalized to a self-self comparison with a perfect match being 1. This information is based on the documentation available at https://www.virtualflybrain.org/docs/past-workshops/connectome/5_nblast, which references Costa et al., 2016. VFB does not currently hold additional information on the interpretation of NBLAST similarity scores beyond this documentation.",
+      "response": "NBLAST is a method to quantify morphological similarity, as described in the documentation. According to the documentation, its similarity score is calculated by finding the closest tangent vector in the target neuron for each tangent vector in the query neuron, with the final score being the sum over all query-target vector pairs, typically normalized to a self-self comparison with a perfect match being 1. This information is based on the documentation available at https://www.virtualflybrain.org/docs/past-workshops/connectome/5_nblast, which references Costa et al., 2016. VFB does not currently hold additional data on the interpretation of NBLAST similarity scores beyond this documentation.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -4617,7 +4705,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 706,
+        "response_chars": 701,
         "status_count": 43
       }
     },
@@ -4632,7 +4720,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 8853,
+      "duration_ms": 19132,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4659,12 +4747,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 163,
-      "request_id": "1d60e1b2-ccc5-499d-93f6-f21dd8bdb9b7",
-      "response_id": "chatcmpl-1d1d72f46136881bb77ca3ab399dfc3d",
+      "event_count": 225,
+      "request_id": "6eb8fcfe-6cb8-44c6-9272-3f206dde7045",
+      "response_id": "chatcmpl-687b1ce9632ffa8e75196c20218e5d1c",
       "images_count": 1,
       "graphs_count": 0,
-      "response": "Confidence values on Virtual Fly Brain are related to the certainty of specific data, such as neuron morphology or connectivity. However, the exact meaning of confidence values is not specified in the provided information. \n\nVFB holds data on neurons with similar morphology to [MB2ON-209 (L1EM:6572414)](https://www.virtualflybrain.org/reports/VFB_00102eof \"Open MB2ON-209 (L1EM:6572414) in Virtual Fly Brain\") using the NBLAST algorithm, as well as neurons connected to MB2ON-209 (L1EM:6572414). To learn more about confidence values, you can explore these available datasets and queries, such as running a query for the count of neurons with similar morphology to MB2ON-209 (L1EM:6572414) or the count of neurons connected to MB2ON-209 (L1EM:6572414).",
+      "response": "The confidence values on Virtual Fly Brain are not explicitly defined in the provided evidence. However, in the context of Virtual Fly Brain, confidence values are often associated with the results of certain queries, such as those involving NBLAST, which is a tool used for comparing neuronal morphology. \n\nFor example, when running a query for Neurons with similar morphology to [MB2ON-209 (L1EM:6572414)](https://www.virtualflybrain.org/reports/VFB_00102eof \"Open MB2ON-209 (L1EM:6572414) in Virtual Fly Brain\") [NBLAST], the results may include confidence values that indicate the degree of similarity between the morphology of MB2ON-209 (L1EM:6572414) and other neurons. \n\nVFB holds data on Neurons with similar morphology to MB2ON-209 (L1EM:6572414) [NBLAST] and Neurons connected to MB2ON-209 (L1EM:6572414), which can be accessed by running the respective queries. \n\nTo understand the specific meaning of confidence values in the context of Virtual Fly Brain, it may be necessary to consult the documentation or help resources provided by Virtual Fly Brain.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -4675,7 +4763,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 754,
+        "response_chars": 1065,
         "status_count": 6
       }
     },
@@ -4690,7 +4778,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 13062,
+      "duration_ms": 18622,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4717,12 +4805,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 81,
-      "request_id": "4acbe9b2-7c33-493f-a4ca-e7d96ca2ddd1",
-      "response_id": "chatcmpl-ee2ebc497dfbde82a43b5f1a7a42430c",
+      "event_count": 115,
+      "request_id": "f98578b4-0fff-4e51-80c8-bcdbaa6f8502",
+      "response_id": "chatcmpl-4b0983a2147e17083eaa210315123f2e",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "VFB does not currently hold data on bridging registrations between brain templates. However, for the [neurosecretory cell of brain](https://www.virtualflybrain.org/reports/FBbt_00052760 \"Open neurosecretory cell of brain in Virtual Fly Brain\"), VFB has annotated various types of data, including images, splits, subclasses, scRNAseq data, transgene expression, downstream connectivity classes, and upstream connectivity classes. The available queries can be run to retrieve the counts of these records.",
+      "response": "Bridging registrations between brain templates in VFB are not directly described in the provided evidence or resolved entities. However, VFB does hold various data related to the [neurosecretory cell of brain](https://www.virtualflybrain.org/reports/FBbt_00052760 \"Open neurosecretory cell of brain in Virtual Fly Brain\"), including available images, splits targeting this cell type, subclasses, scRNAseq data, transgene expression, and both downstream and upstream connectivity classes. To find information on bridging registrations, it might be necessary to query VFB's documentation or explore its database more broadly, as the current evidence does not provide a direct answer to this question.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -4733,7 +4821,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 502,
+        "response_chars": 698,
         "status_count": 6
       }
     },
@@ -4748,7 +4836,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 14698,
+      "duration_ms": 19544,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4775,12 +4863,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 150,
-      "request_id": "4f10fb2d-d341-4e94-8651-d5fb882916be",
-      "response_id": "chatcmpl-5d5f10feb2628db20be91c0064f217e0",
+      "event_count": 106,
+      "request_id": "7d91752a-bfce-4ed0-8e2d-fe86e58c1a93",
+      "response_id": "chatcmpl-70e0624dd26a4a6e9be47c63c2aa4916",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "Virtual Fly Brain holds various imaging data types and brain templates. To find the specific types of imaging data and brain templates available, you can query the Virtual Fly Brain database. VFB does not currently hold information on the full range of imaging data types and brain templates in my response, but you can explore the available data by searching the Virtual Fly Brain database. \n\nYou can find the available imaging data types and brain templates by looking at the Virtual Fly Brain data. \n\nPlease note that my response is limited to the information that I have been trained on, and I may not have access to the most up-to-date information. If you need more specific or detailed information, I recommend checking the Virtual Fly Brain database directly.",
+      "response": "Virtual Fly Brain holds various imaging data types and brain templates. The specific types and templates available can be found by querying the Virtual Fly Brain database. VFB does not currently hold a comprehensive list of all imaging data types and brain templates in its documentation. To find the available data, it is recommended to explore the Virtual Fly Brain database and tools directly. VFB holds annotated data for certain brain templates and imaging data types, but the full extent of this data is only accessible through the database itself.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -4791,7 +4879,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 766,
+        "response_chars": 554,
         "status_count": 6
       }
     },
@@ -4806,7 +4894,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 5861,
+      "duration_ms": 2692,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4818,8 +4906,8 @@
         }
       ],
       "event_count": 3,
-      "request_id": "85ef474c-1ca3-40ee-bdc7-e6f70490d159",
-      "response_id": "local-85ef474c-1ca3-40ee-bdc7-e6f70490d159",
+      "request_id": "80dc7551-364b-4ef7-8916-db4b6df52a2d",
+      "response_id": "local-80dc7551-364b-4ef7-8916-db4b6df52a2d",
       "images_count": 0,
       "graphs_count": 0,
       "response": "What specific aspect of the latest Virtual Fly Brain release are you interested in?",
@@ -4848,7 +4936,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 68031,
+      "duration_ms": 1666,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4857,29 +4945,17 @@
         {
           "message": "Planning the answer",
           "phase": "llm"
-        },
-        {
-          "message": "Reading VFB documentation",
-          "phase": "mcp"
-        },
-        {
-          "message": "Checking the literature",
-          "phase": "mcp"
-        },
-        {
-          "message": "Writing the answer",
-          "phase": "llm"
         }
       ],
-      "event_count": 78,
-      "request_id": "accc8b55-2d10-4696-8b93-613570399c56",
-      "response_id": "chatcmpl-c2441bbd59c95887005679370a6cec23",
+      "event_count": 3,
+      "request_id": "4ae4e6f0-8fcd-4d1c-abd7-fb00f3e8f295",
+      "response_id": "local-4ae4e6f0-8fcd-4d1c-abd7-fb00f3e8f295",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "To install and get started with VFB-connect in Python, it can be installed via PyPi, as stated in the documentation available at https://vfb-connect.readthedocs.io/en/stable. For more detailed instructions and usage, I recommend consulting the official documentation. VFB does not currently hold step-by-step installation instructions or usage examples beyond this information.",
+      "response": "What specific aspect of VFB-connect in Python do you need help with?",
       "quality_flags": {
-        "has_tool_status": true,
-        "no_tool_factual_answer": false,
+        "has_tool_status": false,
+        "no_tool_factual_answer": true,
         "tool_claim_without_tool": false,
         "disambiguation_only_answer": false,
         "investigation_plan_answer": false,
@@ -4887,8 +4963,8 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 377,
-        "status_count": 5
+        "response_chars": 68,
+        "status_count": 2
       }
     },
     {
@@ -4902,7 +4978,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 8500,
+      "duration_ms": 15331,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -4925,12 +5001,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 144,
-      "request_id": "a3018946-40ae-4ddc-a823-aa20cc01d734",
-      "response_id": "chatcmpl-f58c7ba00298371be077c05e8f84c4fe",
+      "event_count": 162,
+      "request_id": "859ac214-e88b-462f-ab65-03048f3d71de",
+      "response_id": "chatcmpl-35a43359d32de44285965a942ae03852",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "To query Virtual Fly Brain programmatically, you can use either the SOLR or Owlery API. The Owlery API provides OWL reasoning services for Virtual Fly Brain's ontologies, enabling complex queries over class hierarchies and relationships. The SOLR Search API provides fast text search and autocomplete functionality for Virtual Fly Brain entities, datasets, and publications. This information comes from the Virtual Fly Brain documentation, as indicated by the reference to \"search_reviewed_docs\". VFB holds documentation on how to use these APIs, which can be accessed through the search functionality. For more specific details on querying Virtual Fly Brain using these APIs, it is recommended to consult the official Virtual Fly Brain documentation.",
+      "response": "To query Virtual Fly Brain programmatically, you can use either the SOLR or Owlery API. The Owlery API provides OWL reasoning services for Virtual Fly Brain's ontologies, enabling complex queries over class hierarchies and relationships. The SOLR Search API provides fast text search and autocomplete functionality for Virtual Fly Brain entities, datasets, and publications. This information comes from the Virtual Fly Brain documentation, as indicated by the reference to \"search_reviewed_docs\". VFB does not currently hold detailed documentation on the specific API endpoints and query parameters, but the provided information suggests that both APIs can be used for programmatic querying. For more detailed information on using the SOLR or Owlery API, you may need to consult the Virtual Fly Brain documentation or contact their support team.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -4941,7 +5017,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 751,
+        "response_chars": 845,
         "status_count": 5
       }
     },
@@ -4956,7 +5032,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 13184,
+      "duration_ms": 19997,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -5131,12 +5207,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 254,
-      "request_id": "4c763d99-1397-4378-85fd-a1fa227f994d",
-      "response_id": "chatcmpl-e8ef814821f05a1e0110b8587d1e86d6",
+      "event_count": 253,
+      "request_id": "7988fe62-0b5c-4197-84c5-0a65bf6609b0",
+      "response_id": "chatcmpl-b3ca4ddf93d69cbf2cd5ef01e6d9def6",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "To explore Virtual Fly Brain neurons using Navis or pymaid, you can utilize these tools to analyze and visualize neuronal data. Navis is a Python package for working with neuronal morphology data, and pymaid is a Python interface to the CATMAID software, which is used for neural circuit reconstruction. \n\nThe Virtual Fly Brain database holds various neuronal data, including neuron morphology and connectivity. You can use Navis to read and manipulate neuron morphology data from Virtual Fly Brain, and pymaid to access and analyze neuron data from CATMAID. \n\nHowever, the exact steps and functionality may depend on the specific implementation and data availability. For detailed instructions and documentation, I recommend referring to the official documentation of Navis and pymaid, as well as any relevant tutorials or guides provided by the Virtual Fly Brain team.\n\nVFB does not currently hold specific data on using Navis or pymaid with Virtual Fly Brain neurons. If you are looking for more information, you may want to try searching for tutorials or examples that demonstrate how to use these tools together.",
+      "response": "To explore Virtual Fly Brain neurons using Navis or pymaid, you can utilize these tools to analyze and visualize neuronal data. Navis is a Python package for working with neuronal morphology data, and pymaid is a Python package for working with CATMAID (Collaborative Annotation Toolkit for Massive Amounts of Image Data) datasets. \n\nThe Virtual Fly Brain database holds various neuronal data that can be accessed and visualized using these tools. However, VFB does not currently hold specific documentation or tutorials on using Navis or pymaid directly with Virtual Fly Brain data. \n\nYou can explore the Virtual Fly Brain database to find relevant neuronal data, and then use Navis or pymaid to analyze and visualize this data. VFB holds a large collection of neuronal data, including neuron morphology and connectivity data. \n\nFor more information on using Navis or pymaid, you can refer to their respective documentation and tutorials. without more specific information or evidence, I am uncertain about the exact steps to explore Virtual Fly Brain neurons using these tools.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -5147,7 +5223,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1117,
+        "response_chars": 1079,
         "status_count": 43
       }
     },
@@ -5162,7 +5238,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 1155,
+      "duration_ms": 3183,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -5174,8 +5250,8 @@
         }
       ],
       "event_count": 3,
-      "request_id": "e716fd0c-92aa-4611-bf5f-d609cb9f889b",
-      "response_id": "local-e716fd0c-92aa-4611-bf5f-d609cb9f889b",
+      "request_id": "f2aa7a7b-9505-4afd-8634-ad704daccc7c",
+      "response_id": "local-f2aa7a7b-9505-4afd-8634-ad704daccc7c",
       "images_count": 0,
       "graphs_count": 0,
       "response": "What specific aspect of the Virtual Fly Brain Model Context Protocol tool do you need help with?",
@@ -5204,7 +5280,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 8195,
+      "duration_ms": 12802,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -5380,8 +5456,8 @@
         }
       ],
       "event_count": 65,
-      "request_id": "1ec849ba-9de7-4016-9b47-5058cbdf18c4",
-      "response_id": "chatcmpl-fdc41cbb6982196afa216dfa6c9b9da9",
+      "request_id": "ef212cac-4b1f-4684-ae12-b342dcdaedca",
+      "response_id": "chatcmpl-22393e3655322584acbbbb8faeb1f5c2",
       "images_count": 0,
       "graphs_count": 0,
       "response": "VFB does not currently hold data on when predicted neurotransmitters for EM data became available on VFB.",
@@ -5410,7 +5486,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 13632,
+      "duration_ms": 16505,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -5585,12 +5661,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 140,
-      "request_id": "7282cd35-f899-4c31-a3ce-1139e86a75c7",
-      "response_id": "chatcmpl-235d268539d87589764b2ed72a14bfff",
+      "event_count": 133,
+      "request_id": "7cf6fb6c-1197-4187-910f-74be3f464387",
+      "response_id": "chatcmpl-7b1d94cfeffb8996392070577dadd8ee",
       "images_count": 0,
       "graphs_count": 0,
-      "response": "The NeuroFly 2026 conference will be held at the University of Cologne, Germany, from September 7th to 11th, 2026, as stated in the documentation from https://www.virtualflybrain.org/blog/2025/12/17/neurofly-2026-21st-biennial-european-drosophila-neurobiology-conference. VFB does not currently hold additional data on this conference beyond what is provided in the documentation.",
+      "response": "The NeuroFly 2026 conference will be held at the University of Cologne, Germany, from September 7th to 11th, 2026, as stated in the documentation from https://www.virtualflybrain.org/blog/2025/12/17/neurofly-2026-21st-biennial-european-drosophila-neurobiology-conference. VFB does not currently hold additional data on this conference.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -5601,7 +5677,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 380,
+        "response_chars": 335,
         "status_count": 43
       }
     },
@@ -5616,7 +5692,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 13472,
+      "duration_ms": 21979,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -5647,12 +5723,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 120,
-      "request_id": "2bbb9de2-99d2-4f34-9f10-42b7f4b1da85",
-      "response_id": "chatcmpl-fd737f1655b3a0ecbd945e5f480869dc",
+      "event_count": 180,
+      "request_id": "a9444af7-76bf-43c3-b6a2-3814197d31a8",
+      "response_id": "chatcmpl-cbb790847d5942d91a94048421a0130f",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The Virtual Fly Brain database indicates that materials from the Virtual Fly Brain \"Hacking the connectome\" workshop are available, including tutorials. VFB holds various records related to the [adult ventral fan-shaped body tangential neuron](https://www.virtualflybrain.org/reports/FBbt_00049538 \"Open adult ventral fan-shaped body tangential neuron in Virtual Fly Brain\"), such as images, splits targeting this neuron, subclasses, transgene expression, downstream connectivity classes, and upstream connectivity classes. To explore these, you can run queries for the counts of available images, splits, subclasses, transgene expression, downstream connectivity classes, and upstream connectivity classes for the adult ventral fan-shaped body tangential neuron.",
+      "response": "The Virtual Fly Brain database holds various records related to the [adult ventral fan-shaped body tangential neuron](https://www.virtualflybrain.org/reports/FBbt_00049538 \"Open adult ventral fan-shaped body tangential neuron in Virtual Fly Brain\"), including available images, splits targeting this neuron, subclasses, transgene expression, downstream connectivity classes, and upstream connectivity classes. \n\nRegarding the 'Hacking the connectome' workshop, the Virtual Fly Brain database indicates that materials from this workshop are available, with tutorials from the Virtual Fly Brain \"Hacking the connectome\" workshop that was run in collaboration with the Drosophila Connectomics Group based at the Dept of Zoology, University of Cambridge. \n\nTo explore the available data, you can query the Virtual Fly Brain database for the counts of records it holds for the adult ventral fan-shaped body tangential neuron, such as the number of available images, splits, subclasses, transgene expression records, downstream connectivity classes, and upstream connectivity classes.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -5663,7 +5739,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 763,
+        "response_chars": 1078,
         "status_count": 7
       }
     },
@@ -5678,7 +5754,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 14620,
+      "duration_ms": 17020,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -5853,12 +5929,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 191,
-      "request_id": "26fc2eff-3f3b-4274-b5bb-b0102c13bc3d",
-      "response_id": "chatcmpl-26ca9de48be28c2a077ac7e25d0b4f55",
+      "event_count": 207,
+      "request_id": "208d6898-7681-4101-9496-ef2ec72e50b1",
+      "response_id": "chatcmpl-c4ae83d7e072f63500863724961f8701",
       "images_count": 2,
       "graphs_count": 0,
-      "response": "To access the FAFB or FANC CATMAID datasets via Virtual Fly Brain, you can utilize the available queries for the resolved entities. For [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), VFB holds data on Neurons connected to DNp44 (FAFB:3094186), which can be accessed by running the corresponding query. Similarly, for [neuron 2232 (FANC:492501)](https://www.virtualflybrain.org/reports/VFB_001027ke \"Open neuron 2232 (FANC:492501) in Virtual Fly Brain\"), VFB has annotated data on Neurons with similar morphology to neuron 2232 (FANC:492501) using the NBLAST algorithm, and this can also be retrieved by running the specified query. However, the exact steps or interface to access these datasets directly are not specified in the available information.",
+      "response": "To access the FAFB or FANC CATMAID datasets via Virtual Fly Brain, you can utilize the available queries for the resolved entities. For [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), VFB holds data on Neurons connected to DNp44 (FAFB:3094186), which can be accessed by running the corresponding query to obtain the count of connected neurons. Similarly, for [neuron 2232 (FANC:492501)](https://www.virtualflybrain.org/reports/VFB_001027ke \"Open neuron 2232 (FANC:492501) in Virtual Fly Brain\"), VFB has annotated data on Neurons with similar morphology to neuron 2232 (FANC:492501) using the NBLAST algorithm, and running this query will provide the count of such neurons. However, the specific steps or interface to directly access the FAFB or FANC CATMAID datasets are not specified in the available information.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -5869,7 +5945,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 831,
+        "response_chars": 894,
         "status_count": 43
       }
     },
@@ -5884,7 +5960,7 @@
       "min_graphs": 0,
       "repetition": 1,
       "ok": true,
-      "duration_ms": 16389,
+      "duration_ms": 14389,
       "status_messages": [
         {
           "message": "Thinking...",
@@ -5903,7 +5979,7 @@
           "phase": "mcp"
         },
         {
-          "message": "Reading VFB term info",
+          "message": "Checking the literature",
           "phase": "mcp"
         },
         {
@@ -5911,12 +5987,12 @@
           "phase": "llm"
         }
       ],
-      "event_count": 152,
-      "request_id": "70c0e884-76e7-46c2-8a80-e0bfa8e3389a",
-      "response_id": "chatcmpl-98ee3624a4c9af98800313e1fc048a87",
+      "event_count": 177,
+      "request_id": "3a3f2d98-97cc-47f4-9525-09036d10b7d5",
+      "response_id": "chatcmpl-5b2235b350614a764e621dc15fb6ac34",
       "images_count": 8,
       "graphs_count": 0,
-      "response": "The Virtual Fly Brain database indicates that there are circuit diagrams and images of the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") available. VFB holds [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ListAllAvailableImages \"Run in VFB: List all available images of mushroom body\") images of the mushroom body, including the [adult mushroom body](https://www.virtualflybrain.org/reports/FBbt_00003684 \"Open adult mushroom body in Virtual Fly Brain\") on the adult brain template JFRC2 and the mushroom body on the L3 CNS template. Additionally, VFB has annotated a large number of neurons related to the mushroom body, including [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body, [601](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in mushroom body\") neurons with synaptic terminals in the mushroom body, and [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") neurons with presynaptic terminals in the mushroom body. To explore these resources further, you can query the Virtual Fly Brain database for more information on the mushroom body, such as its parts, subclasses, and innervating tracts.",
+      "response": "To determine if a circuit diagram of the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") is available on Virtual Fly Brain, we can look at the available data. VFB holds various records related to the mushroom body, including images, neurons with specific parts or terminals in the mushroom body, parts of the mushroom body, and more. However, the specific availability of a circuit diagram is not directly indicated by the provided counts. VFB has annotated a large number of images of neurons with some part in the mushroom body and other related data, which could potentially be used to construct or understand the circuitry of the mushroom body. For detailed circuit diagrams, one would need to explore the specific images and neuronal connectivity data available in VFB. VFB does not currently hold explicit information on circuit diagrams in the provided data, but it has extensive information on the structure and components of the mushroom body.",
       "quality_flags": {
         "has_tool_status": true,
         "no_tool_factual_answer": false,
@@ -5927,7 +6003,7 @@
         "graph_failure_mentioned": false,
         "missing_required_graph": false,
         "used_data_resource": false,
-        "response_chars": 1565,
+        "response_chars": 1017,
         "status_count": 6
       }
     }
diff --git a/test-results/task-battery/task-battery-2026-07-15T10-28-06-729Z.json b/test-results/task-battery/task-battery-2026-07-15T10-28-06-729Z.json
new file mode 100644
index 0000000..e018e11
--- /dev/null
+++ b/test-results/task-battery/task-battery-2026-07-15T10-28-06-729Z.json
@@ -0,0 +1,6011 @@
+{
+  "metadata": {
+    "run_id": "task-battery-2026-07-15T10-28-06-729Z",
+    "started_at": "2026-07-15T10:28:06.729Z",
+    "completed_at": "2026-07-15T10:34:50.351Z",
+    "git_sha": "9f71be27eaea97eb87ae50529441450ea435c820",
+    "task_file": "/home/runner/work/VFBchat/VFBchat/VFBchat/tests/task-battery/tasks.json",
+    "base_url": "http://127.0.0.1:3210",
+    "started_server": true,
+    "server_command": "start",
+    "repetitions": 1,
+    "concurrency": 4,
+    "timeout_ms": 240000
+  },
+  "prompt": {
+    "provenance_instruction": "Answer the following question about Drosophila neuroscience. For every claim you make, state where the information comes from - for example: the specific database, dataset, or tool query you used; the publication (with full citation); or your general training knowledge. If you are uncertain or do not have a source, say so explicitly rather than guessing."
+  },
+  "summary": {
+    "total": 52,
+    "ok": 50,
+    "errors": 2,
+    "by_tier": {
+      "T1": {
+        "total": 8,
+        "ok": 8,
+        "errors": 0
+      },
+      "T2": {
+        "total": 8,
+        "ok": 8,
+        "errors": 0
+      },
+      "T3": {
+        "total": 8,
+        "ok": 7,
+        "errors": 1
+      },
+      "T4": {
+        "total": 6,
+        "ok": 6,
+        "errors": 0
+      },
+      "T5": {
+        "total": 1,
+        "ok": 0,
+        "errors": 1
+      },
+      "T6": {
+        "total": 21,
+        "ok": 21,
+        "errors": 0
+      }
+    },
+    "quality": {
+      "no_tool_factual_answer": {
+        "count": 4,
+        "task_ids": [
+          "D5",
+          "D12",
+          "D13",
+          "D16"
+        ]
+      },
+      "tool_claim_without_tool": {
+        "count": 3,
+        "task_ids": [
+          "D5",
+          "D12",
+          "D16"
+        ]
+      },
+      "disambiguation_only_answer": {
+        "count": 0,
+        "task_ids": []
+      },
+      "investigation_plan_answer": {
+        "count": 0,
+        "task_ids": []
+      },
+      "not_verified_or_no_results_answer": {
+        "count": 0,
+        "task_ids": []
+      },
+      "graph_failure_mentioned": {
+        "count": 0,
+        "task_ids": []
+      },
+      "missing_required_graph": {
+        "count": 1,
+        "task_ids": [
+          "G1"
+        ]
+      },
+      "used_data_resource": {
+        "count": 0,
+        "task_ids": []
+      }
+    },
+    "mean_duration_ms": 25928
+  },
+  "results": [
+    {
+      "attempt_index": 0,
+      "task_index": 0,
+      "task_id": "T1.1",
+      "tier": 1,
+      "title": "Brain region identification",
+      "question": "What are the major subdivisions of the Drosophila mushroom body?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 23422,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning (direct lookup)",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB term info",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 222,
+      "request_id": "d8e101b6-d8d2-422e-a96d-9be2251020e4",
+      "response_id": "chatcmpl-e60202927db428510d8369deb98aae77",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "The major subdivisions of the Drosophila [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are the calyx, pedunculus, and mushroom body lobe system. This information comes from the Virtual Fly Brain database. According to the Virtual Fly Brain database, the mushroom body is divided into these three parts: the calyx, which receives sensory interneuron afferents; the pedunculus, a thick axon bundle extending from the calyx to the base of the lobes; and the mushroom body lobe system, which consists of a vertical branch and a medial branch, with different structures at different life stages. VFB holds various records related to the mushroom body, including images, neurons with some part in the mushroom body, and parts of the mushroom body, with counts of [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ListAllAvailableImages \"Run in VFB: List all available images of mushroom body\") images, [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body, and [176](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,PartsOf \"Run in VFB: Parts of mushroom body\") parts of the mushroom body. For further information, you can explore the available data in VFB, such as the images of neurons with some part in the mushroom body or the tracts/nerves innervating the mushroom body.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 1542,
+        "status_count": 5
+      }
+    },
+    {
+      "attempt_index": 1,
+      "task_index": 1,
+      "task_id": "T1.2",
+      "tier": 1,
+      "title": "Neuron type classification",
+      "question": "What types of Kenyon cells exist in the adult Drosophila brain?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 32648,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Summarising neuron taxonomy",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 196,
+      "request_id": "eacce8ad-8b09-4103-9dc3-e101cf8b66ce",
+      "response_id": "chatcmpl-665aff69cd0827c6811f83a6fd6051f1",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "The types of Kenyon cells in the adult Drosophila brain include [[KCab-c](https://www.virtualflybrain.org/reports/FBbt_00110929 \"Open KCab-c in Virtual Fly Brain\")(i)](https://www.virtualflybrain.org/reports/FBbt_00049111 \"Open KCab-c(i) in Virtual Fly Brain\"), KCab-c, [KCg-m](https://www.virtualflybrain.org/reports/FBbt_00111061 \"Open KCg-m in Virtual Fly Brain\"), [[Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") of main calyx](https://www.virtualflybrain.org/reports/FBbt_00047926 \"Open Kenyon cell of main calyx in Virtual Fly Brain\"), and [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\"), as well as alpha/beta, alpha'/beta', and gamma Kenyon cells, which can be further subdivided into subtypes such as core, surface, posterior, anterior-posterior, middle, and dorsal. This information comes from the Virtual Fly Brain database. VFB holds [37](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,SubclassesOf \"Run in VFB: Subclasses of Kenyon cell\") subclasses of Kenyon cell, and also has scRNAseq data for Kenyon cell, which may provide further insights into the types of Kenyon cells. To explore the different types of Kenyon cells in more detail, you can use VFB to list all available images of Kenyon cell, which currently numbers [32328](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,ListAllAvailableImages \"Run in VFB: List all available images of Kenyon cell\"), or examine the downstream and upstream connectivity classes for Kenyon cell, with [10073](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for Kenyon cell\") and [11243](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for Kenyon cell\") records respectively.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 2026,
+        "status_count": 5
+      }
+    },
+    {
+      "attempt_index": 2,
+      "task_index": 2,
+      "task_id": "T1.3",
+      "tier": 1,
+      "title": "Basic connectivity",
+      "question": "What are the main input neurons to the mushroom body?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 22089,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 122,
+      "request_id": "9bae0440-8bee-42d3-80f7-403a313be20e",
+      "response_id": "chatcmpl-940be320ba47d8a80515567291944458",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "The main input neurons to the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are projection neurons from the antennal lobe, as well as sensory interneuron afferents to the calyx and neurons with presynaptic terminals in the mushroom body. This includes larval antennal lobe multiglomerular projection neurons and larval uniglomerular projection neurons, according to VFB. VFB holds records of [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") neurons with presynaptic terminals in the mushroom body and [601](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in mushroom body\") neurons with synaptic terminals in the mushroom body, which may be relevant for a narrower follow-up of mushroom body inputs.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 982,
+        "status_count": 5
+      }
+    },
+    {
+      "attempt_index": 3,
+      "task_index": 3,
+      "task_id": "T1.4",
+      "tier": 1,
+      "title": "Gene expression",
+      "question": "What neurotransmitter do mushroom body Kenyon cells use?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 18173,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Looking up neurotransmitter data",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 103,
+      "request_id": "67c50de7-217b-4dc5-bb9a-b210eedd7817",
+      "response_id": "chatcmpl-87d3c69b5961022d7a260fe85de94256",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "According to the VFB database, as indicated by the neurotransmitter tags, mushroom body Kenyon cells are predicted to use acetylcholine as their primary neurotransmitter. This information is supported by the VFB neurotransmitter profile, accessible via the VFB query. VFB holds various data related to Kenyon cells, including a large number of images, subclasses, scRNAseq data, transgene expression data, and both downstream and upstream connectivity classes.",
+      "quality_flags": {
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+    {
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+      "task_id": "T1.5",
+      "tier": 1,
+      "title": "Neuroanatomy",
+      "question": "What brain regions does the antennal lobe connect to?",
+      "requires_graph": false,
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+      "request_id": "e303480a-80bb-45ab-a627-5f6a08f0fcb7",
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+      "response": "The [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") connects to the mushroom body and lateral horn, as indicated by the description of antennal lobe projection neuron term in VFB. VFB holds various data related to the antennal lobe, including available images, neurons with some part in the antennal lobe, and tracts/nerves innervating the antennal lobe. To learn more about the specific connections, you can query VFB for neurons with presynaptic or postsynaptic terminals in the antennal lobe, or explore the parts and subclasses of the antennal lobe.",
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+      "title": "Cell count",
+      "question": "Approximately how many neurons are in the adult Drosophila central brain?",
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+      "request_id": "0100c2b5-de88-400a-8e25-b60d33fd0275",
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+      "response": "The number of neurons in the [adult central brain](https://www.virtualflybrain.org/reports/FBbt_00047887 \"Open adult central brain in Virtual Fly Brain\") can be estimated from available data. According to the VFB database, there are approximately more than 125,000 neurons, as indicated by VFB reference. Additionally, VFB has annotated [9413](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central brain\") neuron types with some part in the adult central brain.\n\n**Published neuron-count estimates — adult central brain** (from the literature):\n\n- more than 125,000 neurons (adult Drosophila central brain connectome/model) — A Drosophila computational brain model reveals sensorimotor processing. — PMID 39358519\n- ~139,255 neurons (whole adult Drosophila brain) — Neuronal wiring diagram of an adult brain. — PMID 39358518\n\n_VFB has annotated 9,413 neuron types with some part in adult central brain — a curated annotation count, not the biological total._",
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+      "title": "Central complex structure",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
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+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+      "request_id": "b1a6dde5-6a95-49eb-9cb0-ac22d15b4d0e",
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+      "response": "To address the question regarding the main components of the Drosophila central complex and their associated functions, we must consider the available data and literature. \n\nThe Drosophila central complex is a crucial structure in the insect brain, involved in various functions including navigation, locomotion, and spatial memory. It is composed of several distinct substructures, each with specific roles. \n\nVFB does not currently hold comprehensive data on the detailed composition and functions of the Drosophila central complex. However, based on general knowledge in the field of Drosophila neuroscience, the central complex is known to include components such as the ellipsoid body, the fan-shaped body, the noduli, and the protocerebral bridge, among others. \n\nThese components are associated with a range of functions, including the integration of sensory information, the control of locomotor activity, and the formation of spatial memories. For example, the ellipsoid body is thought to be involved in the processing of visual information and the control of orientation, while the fan-shaped body is implicated in the regulation of locomotor patterns.\n\nFor detailed and specific information on the components of the Drosophila central complex and their functions, it would be necessary to consult the scientific literature or databases dedicated to Drosophila neuroscience. VFB holds some records related to the neuroanatomy of Drosophila, but a comprehensive understanding of the central complex would require a narrower follow-up beyond the current data available in VFB. \n\nFollow-up queries could include examining the neuroanatomical details of specific central complex substructures, exploring the neural circuits that connect these components, or investigating the behavioral and physiological phenotypes associated with genetic manipulations of central complex neurons.",
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+      "attempt_index": 7,
+      "task_index": 7,
+      "task_id": "T1.8",
+      "tier": 1,
+      "title": "Genetic tools",
+      "question": "What genetic tools are commonly used to label mushroom body neurons in Drosophila?",
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+      "request_id": "a6993f00-eccb-44f6-b74f-bf8ea95e7993",
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+      "response": "To address the question of genetic tools used to label [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") neurons in Drosophila, we must consider the available data and literature. However, the provided EVIDENCE is empty, indicating no specific studies or datasets are cited directly in the query.\n\nFrom the AVAILABLE VFB DATA, we see that VFB holds extensive records related to the mushroom body, including neurons with various relationships to the mushroom body (e.g., Neurons with some part in mushroom body, Neurons with synaptic terminals in mushroom body) and images of these neurons. This suggests a wealth of anatomical and possibly functional information about mushroom body neurons.\n\nWhile VFB does not currently hold direct information on the specific genetic tools used for labeling mushroom body neurons in the provided data, the presence of detailed neuronal data implies that such tools have been utilized in research to achieve the level of detail seen in the available records. \n\nFor definitive information on genetic tools used for labeling mushroom body neurons, one would typically consult specific publications or databases focused on Drosophila genetics and neuroscience, such as FlyBase, which catalogues genetic tools and their applications in Drosophila research. \n\nIn summary, while VFB does not currently hold specific data on genetic tools for labeling mushroom body neurons, its extensive records on mushroom body anatomy and neuronal connections suggest that genetic labeling techniques have been employed in their study. Follow-up queries could explore the genetic tools used in Drosophila neuroscience more broadly or delve into the specifics of mushroom body research to identify relevant methods and studies.",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
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+      ],
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+      "request_id": "a7c066d8-3083-493c-a69a-2473fbd1169d",
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+      "response": "To describe the dopaminergic input to mushroom body output neurons (MBONs) and which DAN types connect to which MBON types, we can look at the available data in VFB. \n\nVFB holds data on the upstream connectivity classes for [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\"), with [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records. This data may include information on the dopaminergic input to MBONs. Additionally, VFB has annotated downstream connectivity classes for [adult dopaminergic mushroom body input neuron](https://www.virtualflybrain.org/reports/FBbt_00049839 \"Open adult dopaminergic mushroom body input neuron in Virtual Fly Brain\"), which could provide insights into the connections between these neurons and MBONs.\n\nVFB also holds [69](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,SubclassesOf \"Run in VFB: Subclasses of MBON\") subclasses of mushroom body output neuron, which may be relevant for understanding the specific types of MBONs that receive dopaminergic input. Furthermore, there are [158](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,TransgeneExpressionHere \"Run in VFB: Transgene expression in MBON\") records of transgene expression in mushroom body output neuron, and [29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") records of downstream connectivity classes for mushroom body output neuron, which may provide additional information on the connectivity of these neurons.\n\nHowever, without specific queries or analysis of the available data, the exact connections between specific DAN types and MBON types are not immediately clear. To determine which DAN types connect to which MBON types, it would be necessary to examine the upstream and downstream connectivity classes for both adult dopaminergic mushroom body input neuron and mushroom body output neuron in more detail.",
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+      "question": "Is the connectivity of olfactory projection neurons consistent between the Hemibrain and FAFB connectome datasets?",
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+          "phase": "mcp"
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+      "response": "The question of whether the connectivity of olfactory projection neurons is consistent between the [JRC_FlyEM_Hemibrain](https://www.virtualflybrain.org/reports/VFB_00101384 \"Open JRC_FlyEM_Hemibrain in Virtual Fly Brain\") and FAFB connectome datasets cannot be directly answered with the information provided. However, VFB holds various data related to the terms in question. For instance, VFB has annotated [135](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=VFB_00101384,AllDatasets \"Run in VFB: All available datasets\") datasets related to JRC_FlyEM_Hemibrain. Additionally, VFB records show that there are neurons connected to [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), although the exact count would require running a specific query. Regarding [olfactory projection neuron](https://www.virtualflybrain.org/reports/FBbt_00051298 \"Open olfactory projection neuron in Virtual Fly Brain\"), VFB has annotated several types of data, including images, splits targeting this neuron type, subclasses, scRNAseq data, transgene expression, and both downstream and upstream connectivity classes. To assess the consistency of connectivity between the two datasets, one would need to compare the specific connectivity patterns recorded in JRC_FlyEM_Hemibrain and FAFB for olfactory projection neurons, which is not directly provided in the available data. Further queries, such as examining the downstream and upstream connectivity classes for olfactory projection neuron in both datasets, could provide insights into their connectivity patterns.",
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+      "title": "Reagent identification",
+      "question": "I want to image neurons in the lateral horn. What split-GAL4 driver lines are available that target lateral horn neuron types?",
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+      "request_id": "1063c89d-9c34-41d5-a871-89c322f09968",
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+      "response": "To image neurons in the lateral horn, you can use split-GAL4 driver lines that target lateral horn neuron types. VFB records show that there are split-GAL4 driver lines available that target lateral horn neuron types, such as the expression patterns of P{R23C06-GAL4.DBD} ∩ P{VT004984-p65.AD}, P{VT008489-GAL4.DBD} ∩ P{VT006486-p65.AD}, P{VT026953-GAL4.DBD} ∩ P{R45B08-p65.AD}, and P{VT033629-GAL4.DBD} ∩ P{VT037488-p65.AD}. VFB holds [4](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00048293,SplitsTargeting \"Run in VFB: Splits targeting LHN\") records of such split-GAL4 driver lines targeting adult lateral horn neurons. Additionally, VFB has annotated [175](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00048293,TransgeneExpressionHere \"Run in VFB: Transgene expression in LHN\") transgene expression reports and [24022](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00048293,ListAllAvailableImages \"Run in VFB: List all available images of LHN\") images available for adult lateral horn neurons. You can explore these resources further to find the most suitable driver lines for your imaging needs.",
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+      "task_id": "T2.4",
+      "tier": 2,
+      "title": "Neuron characterisation",
+      "question": "What is known about the LPLC2 visual neuron type? Where is it, what does it connect to, and what is its function?",
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+          "phase": "llm"
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+      "request_id": "8ef134ac-11c7-4a61-a21a-81fcd337c67a",
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+      "response": "The LPLC2 visual neuron type has specific characteristics and functions. Its cell body is located in the dorsal area of the lateral cell body rind. The LPLC2 neuron has a distinct dendritic arbor in each lobula plate layer, extending outwards from the main fiber in the direction of motion detection for the layer, which allows it to detect looming stimuli. In the lobula, it has its main dendritic arbors in layers 4 and 5B, with minor processes in layer 5A, and presynaptic sites in layer 4. The arbors of LPLC2 neurons span approximately 25 lobula optic columns, overlapping with other LPLC2 cells. \n\nLPLC2 neurons project to an optic glomerulus of the PVLP, anterior to LPLC1 and dorsal to LC4. The activity of LPLC2 neurons elicits a jump escape response. VFB holds data on approximately 80 of these cells per optic lobe, and they are cholinergic. \n\nVFB does not currently hold comprehensive data on all connections of the LPLC2 neuron type, but it is known to project to the PVLP. For more detailed information on the connectivity of LPLC2 neurons, further queries can be made to explore available connectome data.",
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+      "task_id": "T2.5",
+      "tier": 2,
+      "title": "Comparative anatomy",
+      "question": "How does the organisation of the antennal lobe compare between adult and larval Drosophila?",
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+        {
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+        },
+        {
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+      "request_id": "0162e584-cf2d-4e69-aaef-02a162b14df4",
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+      "response": "The organisation of the [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") in adult and larval Drosophila differs in terms of glomerular organization and tract connections, with the adult antennal lobe being more elaborated as a glomerular neuropil. This information comes from VFB, as stated in the reference VFB.\n\nVFB holds various data related to the antennal lobe, including images, neurons with parts in the antennal lobe, neurons with synaptic terminals in the antennal lobe, and tracts/nerves innervating the antennal lobe. To explore the differences in organisation between adult and larval Drosophila, you can run queries such as listing all available images of antennal lobe, or retrieving the number of neurons with some part in antennal lobe. Additionally, you can investigate the parts of antennal lobe, subclasses of antennal lobe, and lineage clones found in antennal lobe.",
+      "quality_flags": {
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+        "response_chars": 950,
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+    {
+      "attempt_index": 13,
+      "task_index": 13,
+      "task_id": "T2.6",
+      "tier": 2,
+      "title": "Publications for a circuit",
+      "question": "What publications describe the PPL1 dopaminergic neurons and their role in aversive memory?",
+      "requires_graph": false,
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+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 29566,
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+          "phase": "mcp"
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+          "message": "Finding genetic tools",
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+          "message": "Checking the literature",
+          "phase": "mcp"
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+      "request_id": "8bb872a7-d667-4a79-9359-3faf23c16ae1",
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+      "response": "Publications describing the dopaminergic PPL1 neurons and their role in aversive memory include: Claridge-Chang et al., 2009, Mao and Davis, 2009, Budnik and White, 1988, Ren et al., 2016, as stated in the VFB database. \n\nVFB holds various data related to dopaminergic PPL1 neurons, including available images, splits targeting PPL1, subclasses of PPL1, transgene expression in PPL1, downstream connectivity classes for PPL1, and upstream connectivity classes for PPL1. To access specific counts of these records, you can run queries for each category.",
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+        "response_chars": 552,
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+    },
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+      "task_index": 14,
+      "task_id": "T2.7",
+      "tier": 2,
+      "title": "Morphological similarity",
+      "question": "Are there neurons in the Hemibrain dataset that are morphologically similar to the fru+ mAL neurons described in light microscopy studies?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 19610,
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+        {
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+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
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+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 210,
+      "request_id": "bf43d057-1bdc-4d30-a415-4e850f2bdd41",
+      "response_id": "chatcmpl-ff7c4cd6266652e640872636aa1691e8",
+      "images_count": 0,
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+      "response": "The claim that the Hemibrain dataset contains neurons morphologically similar to the fru+ mAL neurons described in light microscopy studies comes from VFB. Specifically, VFB mentions \"adult fru-mAL neuron, fru-aDT1\" in this context. VFB holds various data related to the [adult fruitless aDT1 neuron](https://www.virtualflybrain.org/reports/FBbt_00110537 \"Open adult fruitless aDT1 neuron in Virtual Fly Brain\"), including Splits targeting adult fruitless aDT1 neuron, Subclasses of adult fruitless aDT1 neuron, Transgene expression in adult fruitless aDT1 neuron, Downstream connectivity classes for adult fruitless aDT1 neuron, and Upstream connectivity classes for adult fruitless aDT1 neuron. To learn more about the morphological similarity between neurons in the Hemibrain dataset and the fru+ mAL neurons, you can run queries on these available datasets.",
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+        "used_data_resource": false,
+        "response_chars": 861,
+        "status_count": 43
+      }
+    },
+    {
+      "attempt_index": 15,
+      "task_index": 15,
+      "task_id": "T2.8",
+      "tier": 2,
+      "title": "Upstream circuit",
+      "question": "What sensory neurons provide input to the fan-shaped body, and through how many synaptic steps?",
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+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 30149,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB term info",
+          "phase": "mcp"
+        },
+        {
+          "message": "Tracing the pathway",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 178,
+      "request_id": "c1369391-ab34-44c9-9cf3-92c76bc034c6",
+      "response_id": "chatcmpl-32cf8c27712580b341121835ea443225",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "The [fan-shaped body](https://www.virtualflybrain.org/reports/FBbt_00003679 \"Open fan-shaped body in Virtual Fly Brain\") receives input from sensory neurons. VFB holds [229](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPartHere \"Run in VFB: Neurons with some part in fan-shaped body\") neuron types with a part in or for the fan-shaped body, and [102](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in fan-shaped body\") of these have presynaptic terminals in the fan-shaped body, indicating they provide input to it. The connectome data indicates these neurons have synaptic terminals in the fan-shaped body, but the exact number of synaptic steps is not specified in the available data. VFB has annotated [72](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in fan-shaped body\") neurons with postsynaptic terminals in the fan-shaped body, suggesting they receive input within it. To determine the specific sensory neurons and the number of synaptic steps involved, further queries can be made, such as examining the tracts/nerves innervating the fan-shaped body, of which VFB holds [6](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,TractsNervesInnervatingHere \"Run in VFB: Tracts/nerves innervating fan-shaped body\") records, or exploring the lineage clones found in the fan-shaped body, with [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,LineageClonesIn \"Run in VFB: Lineage clones found in fan-shaped body\") records available.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 1742,
+        "status_count": 7
+      }
+    },
+    {
+      "attempt_index": 16,
+      "task_index": 16,
+      "task_id": "T3.1",
+      "tier": 3,
+      "title": "Bidirectional connectivity",
+      "question": "Are there reciprocal connections between mushroom body output neurons (MBONs) and dopaminergic neurons (DANs)? Which pairs have the strongest mutual connectivity?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 217145,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 2 terms in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 251,
+      "request_id": "320d02c4-612b-40ae-a60f-0d89c52e93d2",
+      "response_id": "chatcmpl-4e345e06dbe5000b7f7822d8863df315",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "The connectome data indicates that there are reciprocal connections between mushroom body output neurons and dopaminergic neurons. VFB records show 5 reciprocal class-level pairs between these two neuron types. The top partners for these connections are not fully specified in the available data, but the evidence suggests a significant number of connections in both directions, with 84 and 98 partner counts mentioned for the [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\") to [dopaminergic neuron](https://www.virtualflybrain.org/reports/FBbt_00005131 \"Open dopaminergic neuron in Virtual Fly Brain\") and related connections. \n\nVFB holds extensive data on both mushroom body output neurons and dopaminergic neurons, including their subclasses, scRNAseq data, transgene expression, and downstream and upstream connectivity classes. For mushroom body output neurons, VFB has annotated [69](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,SubclassesOf \"Run in VFB: Subclasses of MBON\") subclasses, [1](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,anatScRNAseqQuery \"Run in VFB: scRNAseq data for MBON\") scRNAseq dataset, [158](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,TransgeneExpressionHere \"Run in VFB: Transgene expression in MBON\") transgene expressions, [29,859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") downstream connectivity classes, and [23,753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") upstream connectivity classes. For dopaminergic neurons, various data are available, including images, splits, subclasses, scRNAseq data, transgene expressions, and both downstream and upstream connectivity classes, though the exact counts for these can be found by running specific queries.\n\nTo identify the pairs with the strongest mutual connectivity, further analysis of the available connectivity data and partner breakdowns would be necessary.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 2275,
+        "status_count": 5
+      }
+    },
+    {
+      "attempt_index": 17,
+      "task_index": 17,
+      "task_id": "T3.2",
+      "tier": 3,
+      "title": "Pathway tracing",
+      "question": "Trace a pathway from olfactory receptor neurons to the lateral horn. What are the intermediate neuron types and their connections?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 30617,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 2 terms in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Tracing the pathway",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 320,
+      "request_id": "20132696-ffb9-4247-9da5-d33990704766",
+      "response_id": "chatcmpl-ad62e25a54c64915ab29a2e8ba05b7a8",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "To trace a pathway from olfactory receptor neurons to the lateral horn, we can refer to the evidence from VFB. According to VFB, antennal lobe projection neurons are intermediate neurons that connect olfactory receptor neurons to the lateral horn. The high-level pathway supported by VFB is: [olfactory receptor neuron](https://www.virtualflybrain.org/reports/FBbt_00005926 \"Open olfactory receptor neuron in Virtual Fly Brain\") -> antennal lobe projection neuron -> lateral horn.\n\nVFB holds various data related to olfactory receptor neurons and the [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"), including images, splits, subclasses, scRNAseq data, transgene expression, and connectivity classes for olfactory receptor neurons. For the adult lateral horn, VFB has annotated numerous neurons with some part in the adult lateral horn, neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in the adult lateral horn, as well as tracts/nerves innervating the adult lateral horn, lineage clones, images of neurons, and transgene expression data.\n\nThe connectome data indicates that antennal lobe projection neurons play a crucial role in this pathway. VFB records show that these neurons have dendrites that innervate the antennal lobe and axons that innervate higher brain centers, including the mushroom body calyx and/or the lateral horn. \n\nTo further explore the intermediate neuron types and their connections, you can query VFB for downstream connectivity classes for olfactory receptor neurons or neurons with some part in the adult lateral horn. Additionally, you can investigate the transgene expression data in olfactory receptor neurons or the adult lateral horn to identify potential genetic markers for these neurons.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 1833,
+        "status_count": 5
+      }
+    },
+    {
+      "attempt_index": 18,
+      "task_index": 18,
+      "task_id": "T3.3",
+      "tier": 3,
+      "title": "Cell type taxonomy depth",
+      "question": "How many distinct neuron types are currently classified within the adult Drosophila visual system, and how are they organised hierarchically?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": false,
+      "duration_ms": null,
+      "error": "Timed out after 240000 ms",
+      "quality_flags": {
+        "has_tool_status": false,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 25,
+        "status_count": 0
+      }
+    },
+    {
+      "attempt_index": 19,
+      "task_index": 19,
+      "task_id": "T3.4",
+      "tier": 3,
+      "title": "Connectivity strength comparison",
+      "question": "Which neuron type provides the strongest synaptic input to the MBON-gamma1pedc>a/b neuron, and how does this compare to the next strongest inputs?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 20994,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 145,
+      "request_id": "fa4b7efd-2269-4038-9233-fbc000ef068b",
+      "response_id": "chatcmpl-b989058ebdeae9eeefbd7b6c890bd347",
+      "images_count": 8,
+      "graphs_count": 1,
+      "response": "The strongest synaptic input to MBON-gamma1pedc>a/b neuron is from mushroom body intrinsic neurons, with a total weight of 45838, and the next strongest input is from Kenyon cells, with a total weight of 44880, as recorded in VFB. VFB holds a range of data on mushroom body output neurons, including subclasses of MBON, scRNAseq data, transgene expression, and both downstream and upstream connectivity classes. To further explore the connectivity of MBON-gamma1pedc>a/b, you can query VFB for its downstream and upstream connectivity classes, of which VFB has annotated [29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") and [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records, respectively.",
+      "graphs": [
+        {
+          "type": "basic_graph",
+          "version": 1,
+          "title": "Upstream partners of MBON11",
+          "directed": true,
+          "layout": "circle",
+          "nodes": [
+            {
+              "id": "FBbt_00005106",
+              "label": "neuron",
+              "group": null,
+              "color": null,
+              "size": 1.8
+            },
+            {
+              "id": "FBbt_00100246",
+              "label": "MBON11",
+              "group": null,
+              "color": null,
+              "size": 4
+            },
+            {
+              "id": "FBbt_00047095",
+              "label": "adult neuron",
+              "group": null,
+              "color": null,
+              "size": 1.8
+            },
+            {
+              "id": "FBbt_00007484",
+              "label": "mushroom body intrinsic neuron",
+              "group": null,
+              "color": null,
+              "size": 1.71
+            },
+            {
+              "id": "FBbt_00003686",
+              "label": "Kenyon cell",
+              "group": null,
+              "color": null,
+              "size": 1.69
+            }
+          ],
+          "edges": [
+            {
+              "source": "FBbt_00005106",
+              "target": "FBbt_00100246",
+              "label": "52020",
+              "weight": 52020
+            },
+            {
+              "source": "FBbt_00047095",
+              "target": "FBbt_00100246",
+              "label": "51972",
+              "weight": 51972
+            },
+            {
+              "source": "FBbt_00007484",
+              "target": "FBbt_00100246",
+              "label": "45838",
+              "weight": 45838
+            },
+            {
+              "source": "FBbt_00003686",
+              "target": "FBbt_00100246",
+              "label": "44880",
+              "weight": 44880
+            }
+          ]
+        }
+      ],
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 933,
+        "status_count": 5
+      }
+    },
+    {
+      "attempt_index": 20,
+      "task_index": 20,
+      "task_id": "T3.5",
+      "tier": 3,
+      "title": "Shared connectivity",
+      "question": "Do the alpha/beta and gamma Kenyon cells converge on any of the same downstream MBON types? Which MBONs receive input from both?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 23496,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 3 terms in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Checking the literature",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 244,
+      "request_id": "fbb79496-1454-42a3-ba1c-3b57733ff7d8",
+      "response_id": "chatcmpl-b68bdd40285484fc27c233080d518dac",
+      "images_count": 8,
+      "graphs_count": 1,
+      "response": "To determine if the alpha/beta Kenyon cells and gamma Kenyon cells converge on the same downstream [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\") types, we can look at the available data on their connectivity. VFB holds downstream connectivity classes for mushroom body output neuron ([29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") records) and upstream connectivity classes for mushroom body output neuron ([23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records), which may indicate the types of Kenyon cells that connect to specific mushroom body output neurons. \n\nVFB also holds downstream connectivity classes for [alpha/beta Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100248 \"Open alpha/beta Kenyon cell in Virtual Fly Brain\") ([1665](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for KCab\") records) and [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\") (available - run this query for the count), as well as upstream connectivity classes for alpha/beta Kenyon cell ([1770](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for KCab\") records) and gamma Kenyon cell (available - run this query for the count). These data may provide insight into which mushroom body output neurons receive input from both alpha/beta Kenyon cells and gamma Kenyon cells.\n\nHowever, without specific query results or further information, we cannot definitively say which mushroom body output neurons receive input from both alpha/beta Kenyon cells and gamma Kenyon cells. The user can run queries on the available data to explore the connectivity between these cell types in more detail.",
+      "graphs": [
+        {
+          "type": "basic_graph",
+          "version": 1,
+          "title": "Downstream targets by source class",
+          "directed": true,
+          "layout": "circle",
+          "nodes": [
+            {
+              "id": "FBbt_00100248",
+              "label": "KCab",
+              "group": null,
+              "color": null,
+              "size": 4
+            },
+            {
+              "id": "FBbt_00047955",
+              "label": "adult mushroom body output neuron",
+              "group": null,
+              "color": null,
+              "size": 1.75
+            },
+            {
+              "id": "FBbt_00047953",
+              "label": "mushroom body output neuron",
+              "group": null,
+              "color": null,
+              "size": 1.75
+            },
+            {
+              "id": "FBbt_00049843",
+              "label": "adult typical mushroom body output neuron",
+              "group": null,
+              "color": null,
+              "size": 1.72
+            },
+            {
+              "id": "FBbt_00111005",
+              "label": "mushroom body output neuron 7",
+              "group": null,
+              "color": null,
+              "size": 1.17
+            },
+            {
+              "id": "FBbt_00100238",
+              "label": "mushroom body output neuron 14",
+              "group": null,
+              "color": null,
+              "size": 1.15
+            },
+            {
+              "id": "FBbt_00100242",
+              "label": "mushroom body output neuron 6",
+              "group": null,
+              "color": null,
+              "size": 1.1
+            },
+            {
+              "id": "FBbt_00111012",
+              "label": "mushroom body output neuron 2",
+              "group": null,
+              "color": null,
+              "size": 1.09
+            },
+            {
+              "id": "FBbt_00110101",
+              "label": "mushroom body output neuron 18",
+              "group": null,
+              "color": null,
+              "size": 1.08
+            },
+            {
+              "id": "FBbt_00100246",
+              "label": "mushroom body output neuron 11",
+              "group": null,
+              "color": null,
+              "size": 1.05
+            },
+            {
+              "id": "FBbt_00100240",
+              "label": "mushroom body output neuron 22",
+              "group": null,
+              "color": null,
+              "size": 1.05
+            },
+            {
+              "id": "FBbt_00049842",
+              "label": "adult atypical mushroom body output neuron",
+              "group": null,
+              "color": null,
+              "size": 1.03
+            },
+            {
+              "id": "FBbt_00049844",
+              "label": "mushroom body output neuron 24",
+              "group": null,
+              "color": null,
+              "size": 1.03
+            },
+            {
+              "id": "FBbt_00049113",
+              "label": "mushroom body output neuron 23",
+              "group": null,
+              "color": null,
+              "size": 1.02
+            },
+            {
+              "id": "FBbt_00111011",
+              "label": "mushroom body output neuron 19",
+              "group": null,
+              "color": null,
+              "size": 1.01
+            },
+            {
+              "id": "FBbt_00100232",
+              "label": "mushroom body output neuron 3",
+              "group": null,
+              "color": null,
+              "size": 1
+            },
+            {
+              "id": "FBbt_00100234",
+              "label": "mushroom body output neuron 1",
+              "group": null,
+              "color": null,
+              "size": 1
+            },
+            {
+              "id": "FBbt_00111046",
+              "label": "mushroom body output neuron 21",
+              "group": null,
+              "color": null,
+              "size": 1
+            },
+            {
+              "id": "FBbt_00100239",
+              "label": "mushroom body output neuron 13",
+              "group": null,
+              "color": null,
+              "size": 1
+            },
+            {
+              "id": "FBbt_00111007",
+              "label": "mushroom body output neuron 9",
+              "group": null,
+              "color": null,
+              "size": 1
+            },
+            {
+              "id": "FBbt_00111009",
+              "label": "mushroom body output neuron 12",
+              "group": null,
+              "color": null,
+              "size": 1
+            }
+          ],
+          "edges": [
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00047955",
+              "label": "210083",
+              "weight": 210083
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00047953",
+              "label": "210083",
+              "weight": 210083
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00049843",
+              "label": "202570",
+              "weight": 202570
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00111005",
+              "label": "48241",
+              "weight": 48241
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00100238",
+              "label": "43144",
+              "weight": 43144
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00100242",
+              "label": "27788",
+              "weight": 27788
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00111012",
+              "label": "24232",
+              "weight": 24232
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00110101",
+              "label": "22072",
+              "weight": 22072
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00100246",
+              "label": "15172",
+              "weight": 15172
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00100240",
+              "label": "13677",
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+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00049842",
+              "label": "7513",
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+              "source": "FBbt_00100248",
+              "target": "FBbt_00049844",
+              "label": "7510",
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+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00049113",
+              "label": "6024",
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+              "source": "FBbt_00100248",
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+              "label": "2165",
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+            },
+            {
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+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00100234",
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+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00111046",
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+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00100239",
+              "label": "6",
+              "weight": 6
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00111007",
+              "label": "3",
+              "weight": 3
+            },
+            {
+              "source": "FBbt_00100248",
+              "target": "FBbt_00111009",
+              "label": "3",
+              "weight": 3
+            }
+          ]
+        }
+      ],
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
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+        "response_chars": 2199,
+        "status_count": 6
+      }
+    },
+    {
+      "attempt_index": 21,
+      "task_index": 21,
+      "task_id": "T3.6",
+      "tier": 3,
+      "title": "Anatomical containment chain",
+      "question": "Trace the anatomical containment hierarchy from the DA1 glomerulus up to the top-level brain structure. What is each level in the hierarchy?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 27710,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Tracing the pathway",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 191,
+      "request_id": "30bc2cde-91ed-4922-83e5-8ed69a798505",
+      "response_id": "chatcmpl-317511d443a0772b507b14f112851331",
+      "images_count": 0,
+      "graphs_count": 0,
+      "response": "The anatomical containment hierarchy from the [antennal lobe glomerulus DA1](https://www.virtualflybrain.org/reports/FBbt_00003932 \"Open antennal lobe glomerulus DA1 in Virtual Fly Brain\") up to the top-level brain structure, as indicated by the VFB data, is: antennal lobe glomerulus DA1 -> adult olfactory antennal lobe glomerulus -> adult antennal lobe -> adult deutocerebrum -> adult cerebrum -> adult central brain -> adult brain. This information comes from the VFB database, which provides a trace of the containment chain. \n\nTo further explore the structure and connections of the antennal lobe glomerulus DA1, VFB holds various records, including neurons with some part in antennal lobe glomerulus DA1, neurons with synaptic terminals in antennal lobe glomerulus DA1, and parts of antennal lobe glomerulus DA1, among others. The user can run specific queries to obtain the counts for these records.",
+      "quality_flags": {
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+        "tool_claim_without_tool": false,
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+        "response_chars": 907,
+        "status_count": 5
+      }
+    },
+    {
+      "attempt_index": 22,
+      "task_index": 22,
+      "task_id": "T3.7",
+      "tier": 3,
+      "title": "Cross-region connectivity",
+      "question": "What neuron types connect the central complex to the lateral accessory lobe, and how strong are these connections?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 30506,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
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+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 2 terms in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Checking the literature",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
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+      "request_id": "635e25c6-0bf2-46f0-bb92-068dc3346311",
+      "response_id": "chatcmpl-b7e75a1a670198defa092efe0bb6a324",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "To determine the neuron types that connect the [adult central complex](https://www.virtualflybrain.org/reports/FBbt_00003632 \"Open adult central complex in Virtual Fly Brain\") to the [lateral accessory lobe on L3 CNS template, Wood2018](https://www.virtualflybrain.org/reports/VFB_00050314 \"Open lateral accessory lobe on L3 CNS template, Wood2018 in Virtual Fly Brain\"), and the strength of these connections, we can look at the available data in VFB. \n\nVFB holds records of neurons with some part in the adult central complex ([363](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central complex\") records) and neurons with some part in the embryonic/larval lateral accessory lobe (available - run the query for the count). Additionally, VFB has annotated neurons with synaptic terminals in the adult central complex ([362](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in adult central complex\") records) and neurons with synaptic terminals in the embryonic/larval lateral accessory lobe (available - run the query for the count). \n\nThe connectome data indicates that neurons with presynaptic terminals in the adult central complex ([209](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in adult central complex\") records) and neurons with postsynaptic terminals in the adult central complex ([208](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in adult central complex\") records) may be involved in connections to other brain regions, including potentially the lateral accessory lobe on L3 CNS template, Wood2018. However, the specific neuron types and connection strengths between the adult central complex and the lateral accessory lobe on L3 CNS template, Wood2018 are not directly stated in the available data.\n\nTo further investigate the connections between these two regions, you can run queries to find neurons with some part in both the adult central complex and the embryonic/larval lateral accessory lobe, or neurons with synaptic terminals in both regions. You can also explore the images of neurons with some part in these regions and the parts of the embryonic/larval lateral accessory lobe to gain more insights into their potential connections.",
+      "quality_flags": {
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+        "response_chars": 2554,
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+    },
+    {
+      "attempt_index": 23,
+      "task_index": 23,
+      "task_id": "T3.8",
+      "tier": 3,
+      "title": "Dataset coverage",
+      "question": "For the DNa02 descending neuron type, what data is available in VFB? Is it in the Hemibrain, FAFB, or both? Are there light microscopy images and driver lines?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 35640,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB term info",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Finding genetic tools",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 151,
+      "request_id": "2213196d-1296-4cc3-b96a-f9b7d86e987b",
+      "response_id": "chatcmpl-96621b07f187228eeaeb651418413cb9",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "For the [descending neuron of the anterior dorsal brain DNa02](https://www.virtualflybrain.org/reports/FBbt_00047573 \"Open descending neuron of the anterior dorsal brain DNa02 in Virtual Fly Brain\"), VFB holds various data. This includes [18](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,ListAllAvailableImages \"Run in VFB: List all available images of DNa02\") individual images of DNa02, which can be listed. Additionally, there are [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,SplitsTargeting \"Run in VFB: Splits targeting DNa02\") splits targeting DNa02 and 2 transgene expression reports in DNa02, indicating the availability of genetic tools for labeling this neuron type. The connectome data indicates that DNa02 has [636](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNa02\") downstream connectivity classes and [779](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNa02\") upstream connectivity classes. VFB does not currently hold specific information on whether DNa02 data is included in the Hemibrain or FAFB datasets. However, the available data in VFB suggests that there are light microscopy images and driver lines associated with DNa02.",
+      "quality_flags": {
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+        "graph_failure_mentioned": false,
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+        "response_chars": 1433,
+        "status_count": 7
+      }
+    },
+    {
+      "attempt_index": 24,
+      "task_index": 24,
+      "task_id": "T4.1",
+      "tier": 4,
+      "title": "Experimental planning",
+      "question": "I want to study the neural circuit underlying CO2 avoidance in Drosophila. What neurons are involved, how are they connected, and what genetic tools can I use to access them?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
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+          "message": "Planning the answer",
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+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
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+        {
+          "message": "Resolving 1 term in VFB",
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+        },
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+        },
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
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+        },
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+          "message": "Resolving 1 term in VFB",
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+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
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+      "response_id": "chatcmpl-3dabede15f9ce66e47527dd92d791a9c",
+      "images_count": 0,
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+      "response": "To study the neural circuit underlying CO2 avoidance in Drosophila, you would need to identify the specific neurons involved in this behavior. VFB does not currently hold data on the exact neurons involved in CO2 avoidance in Drosophila. \n\nThe connectome data may indicate connectivity between certain neurons, but without specific information on CO2 avoidance, it is unclear which neurons are relevant. \n\nVFB holds various records on Drosophila neurons and their connections, but without more specific information, it is difficult to determine which neurons are involved in CO2 avoidance. \n\nYou may be able to use genetic tools such as GAL4 drivers or Split-GAL4 to access specific neurons, but the choice of tool would depend on the identity of the neurons involved, which is not currently specified in VFB. \n\nFurther queries on VFB, such as searching for neurons with specific anatomical or functional properties, may help to identify the relevant neurons and their connections.",
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+        "response_chars": 981,
+        "status_count": 85
+      }
+    },
+    {
+      "attempt_index": 25,
+      "task_index": 25,
+      "task_id": "T4.2",
+      "tier": 4,
+      "title": "Complete neuron profile",
+      "question": "Give me a comprehensive profile of the giant fiber neuron: its anatomy, connectivity, available driver lines, and relevant publications.",
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+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Checking the literature",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 510,
+      "request_id": "47cd3b91-3901-49c0-b2d5-bc6829e1df0e",
+      "response_id": "chatcmpl-cd7faa3db22b13c9bf6cef22fa01365d",
+      "images_count": 8,
+      "graphs_count": 1,
+      "response": "The [giant fiber neuron](https://www.virtualflybrain.org/reports/FBbt_00004020 \"Open giant fiber neuron in Virtual Fly Brain\") is a large adult descending neuron that controls jump escape behavior. According to VFB, it has a unique anatomy and connectivity, with one cell per hemisphere, and its large cell body is located posterior to the lower protocerebrum. The giant fiber neuron can be identified by its large descending axon, which is several times larger than any other axon in the cervical connective. It enters the cervical connective via the posterior cerebro-cervical fascicle and descends on the ipsilateral side, in the dorsal cervical fasciculus. In the brain, it has dendritic arborization in the ipsilateral zones A and B of the antennal mechanosensory and motor center, where it receives substantial input from zone A and B Johnston organ neurons. It also arborizes in the posterior ventrolateral protocerebrum and gorget. The giant fiber neuron forms electrical synapses with downstream motor and premotor neurons at the inframedial bridge, where the two giant fiber neurons connect across the midline, and at the axonal lateral bend.\n\nVFB records show that the giant fiber neuron is a primary neuron. Available driver lines include [P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0121835FBtp0118557 \"Open P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern in Virtual Fly Brain\"), [P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0116198FBtp0118471 \"Open P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern in Virtual Fly Brain\"), [P{GMR91H05-GAL4} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0064022 \"Open P{GMR91H05-GAL4} expression pattern in Virtual Fly Brain\"), [P{GMR79D08-GAL4} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0063022 \"Open P{GMR79D08-GAL4} expression pattern in Virtual Fly Brain\"), [P{GMR78G07-GAL4} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0062972 \"Open P{GMR78G07-GAL4} expression pattern in Virtual Fly Brain\").\n\nThe connectivity of the giant fiber neuron can be described based on the available data. VFB holds [389](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNp01\") records of downstream connectivity classes for the giant fiber neuron and [472](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNp01\") records of upstream connectivity classes. \n\nRelevant publications include Thomas and Wyman (1984), Koto et al. (1981), Namiki et al. (2018), Power (1948), Ito et al. (2014), Kamikouchi et al. (2009), Matsuo et al. (2016), Kim et al. (2020), King and Wyman (1980), Allen et al. (1998), Kennedy and Broadie (2018). \n\nVFB has annotated [23](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,ListAllAvailableImages \"Run in VFB: List all available images of DNp01\") images of the giant fiber neuron, [5](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,SplitsTargeting \"Run in VFB: Splits targeting DNp01\") splits targeting it, and [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,TransgeneExpressionHere \"Run in VFB: Transgene expression in DNp01\") transgene expression patterns in this neuron.",
+      "graphs": [
+        {
+          "type": "basic_graph",
+          "version": 1,
+          "title": "Downstream partners of DNp01",
+          "directed": true,
+          "layout": "circle",
+          "nodes": [
+            {
+              "id": "FBbt_00004020",
+              "label": "DNp01",
+              "group": null,
+              "color": null,
+              "size": 4
+            },
+            {
+              "id": "FBbt_00047095",
+              "label": "adult neuron",
+              "group": null,
+              "color": null,
+              "size": 1.42
+            },
+            {
+              "id": "FBbt_00005106",
+              "label": "neuron",
+              "group": null,
+              "color": null,
+              "size": 1.42
+            },
+            {
+              "id": "FBbt_00059271",
+              "label": "CNS neuron",
+              "group": null,
+              "color": null,
+              "size": 1.42
+            },
+            {
+              "id": "FBbt_00059289",
+              "label": "adult VNC neuron",
+              "group": null,
+              "color": null,
+              "size": 1.28
+            },
+            {
+              "id": "FBbt_00001983",
+              "label": "thoracic neuron",
+              "group": null,
+              "color": null,
+              "size": 1.28
+            },
+            {
+              "id": "FBbt_00047096",
+              "label": "secondary neuron",
+              "group": null,
+              "color": null,
+              "size": 1.18
+            },
+            {
+              "id": "FBbt_00049540",
+              "label": "Notch OFF hemilineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.17
+            },
+            {
+              "id": "FBbt_00001985",
+              "label": "mesothoracic neuron",
+              "group": null,
+              "color": null,
+              "size": 1.17
+            },
+            {
+              "id": "FBbt_00047097",
+              "label": "primary neuron",
+              "group": null,
+              "color": null,
+              "size": 1.12
+            },
+            {
+              "id": "FBbt_00049542",
+              "label": "Notch OFF hemilineage secondary neuron",
+              "group": null,
+              "color": null,
+              "size": 1.12
+            },
+            {
+              "id": "FBbt_00001984",
+              "label": "prothoracic neuron",
+              "group": null,
+              "color": null,
+              "size": 1.11
+            },
+            {
+              "id": "FBbt_00049539",
+              "label": "Notch ON hemilineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.11
+            },
+            {
+              "id": "FBbt_00048927",
+              "label": "NB2-4 lineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.07
+            },
+            {
+              "id": "FBbt_00049541",
+              "label": "Notch ON hemilineage secondary neuron",
+              "group": null,
+              "color": null,
+              "size": 1.07
+            },
+            {
+              "id": "FBbt_00053396",
+              "label": "input/output neuron",
+              "group": null,
+              "color": null,
+              "size": 1.07
+            }
+          ],
+          "edges": [
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+              "source": "FBbt_00004020",
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+            {
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+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00059271",
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+            {
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+              "weight": 2779
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00001983",
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+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00047096",
+              "label": "1826",
+              "weight": 1826
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00049540",
+              "label": "1706",
+              "weight": 1706
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00001985",
+              "label": "1651",
+              "weight": 1651
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00047097",
+              "label": "1197",
+              "weight": 1197
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00049542",
+              "label": "1152",
+              "weight": 1152
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00001984",
+              "label": "1098",
+              "weight": 1098
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00049539",
+              "label": "1075",
+              "weight": 1075
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00048927",
+              "label": "707",
+              "weight": 707
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00049541",
+              "label": "674",
+              "weight": 674
+            },
+            {
+              "source": "FBbt_00004020",
+              "target": "FBbt_00053396",
+              "label": "662",
+              "weight": 662
+            }
+          ]
+        }
+      ],
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 3561,
+        "status_count": 7
+      }
+    },
+    {
+      "attempt_index": 26,
+      "task_index": 26,
+      "task_id": "T4.3",
+      "tier": 4,
+      "title": "Hypothesis generation",
+      "question": "Based on connectivity data, what neuron types might mediate a connection between the visual system and the mushroom body? Could visual information reach the memory circuit?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 30068,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 2 terms in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Tracing the pathway",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 245,
+      "request_id": "bd847922-e5b5-4cdb-b57c-8b193c30b20f",
+      "response_id": "chatcmpl-7c01230d97dca6bcbd9eacb5f6306c47",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "Based on connectivity data from VFB, several neuron types might mediate a connection between the [visual system](https://www.virtualflybrain.org/reports/FBbt_00047735 \"Open visual system in Virtual Fly Brain\") and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\"). These include [[adult optic lobe-calycal tract](https://www.virtualflybrain.org/reports/FBbt_00048333 \"Open adult optic lobe-calycal tract in Virtual Fly Brain\") 1](https://www.virtualflybrain.org/reports/FBbt_00048337 \"Open adult optic lobe-calycal tract 1 in Virtual Fly Brain\"), [adult optic lobe-calycal tract 2](https://www.virtualflybrain.org/reports/FBbt_00048338 \"Open adult optic lobe-calycal tract 2 in Virtual Fly Brain\"), [adult optic lobe-calycal tract 3](https://www.virtualflybrain.org/reports/FBbt_00048339 \"Open adult optic lobe-calycal tract 3 in Virtual Fly Brain\"), and adult optic lobe-calycal tract, as well as [adult subesophageal-calycal tract](https://www.virtualflybrain.org/reports/FBbt_00048334 \"Open adult subesophageal-calycal tract in Virtual Fly Brain\"). Additionally, VFB records show that neurons such as [AVLP391](https://www.virtualflybrain.org/reports/FBbt_20000500 \"Open AVLP391 in Virtual Fly Brain\"), [Dm8b](https://www.virtualflybrain.org/reports/FBbt_00110069 \"Open Dm8b in Virtual Fly Brain\"), [MC](https://www.virtualflybrain.org/reports/FBbt_00111640 \"Open MC in Virtual Fly Brain\"), and [PLP031](https://www.virtualflybrain.org/reports/FBbt_20001531 \"Open PLP031 in Virtual Fly Brain\") have some part in the visual system and could potentially mediate this connection. Furthermore, VFB has an adult visual projection neuron to the mushroom body class, which has presynaptic terminals in the mushroom body, indicating a potential pathway for visual information to reach the mushroom body. VFB holds records of [1046](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPartHere \"Run in VFB: Neurons with some part in visual system\") neuron types with some part in the visual system and [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neuron types with some part in the mushroom body, providing a basis for exploring the potential connections between these systems. The connectome data indicates that visual information could reach the memory circuit via these neuron types, but the specific details of this connection would require further examination of the available data.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 2591,
+        "status_count": 5
+      }
+    },
+    {
+      "attempt_index": 27,
+      "task_index": 27,
+      "task_id": "T4.4",
+      "tier": 4,
+      "title": "Comparative analysis",
+      "question": "Compare the downstream targets of the two main types of clock neurons (s-LNv and l-LNv). Do they converge on any common target neuron types?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 26905,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 2 terms in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Checking the literature",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 255,
+      "request_id": "cdc04eea-f341-4fc0-ae99-f490706649e0",
+      "response_id": "chatcmpl-7906c2727adadc98c51978f7e9d114bc",
+      "images_count": 2,
+      "graphs_count": 1,
+      "response": "To compare the downstream targets of the two main types of clock neurons, [s-LNv](https://www.virtualflybrain.org/reports/VFB_jrch04kn \"Open s-LNv in Virtual Fly Brain\") and [l-LNv](https://www.virtualflybrain.org/reports/VFB_jrch0frv \"Open l-LNv in Virtual Fly Brain\"), and determine if they converge on any common target neuron types, we would need to examine the connectivity data of these neurons. However, VFB does not currently hold specific data on the downstream targets of s-LNv and l-LNv neurons that can be used for a direct comparison. \n\nThe connectome data indicates specific connections between neuron types, but without access to this data for s-LNv and l-LNv, we cannot determine their downstream targets or any potential overlap. VFB holds various records on Drosophila neuron types and their connections, but the specific information on the convergence of s-LNv and l-LNv downstream targets is not available in the provided evidence. \n\nFor a detailed comparison, one would typically consult the connectome data or specific studies focusing on the clock neurons' circuitry in Drosophila. Since the provided evidence does not include such data, we cannot conclude whether s-LNv and l-LNv converge on common target neuron types. Further queries into the VFB database or consultation of specific neuroscience literature would be necessary to address this question accurately.",
+      "graphs": [
+        {
+          "type": "basic_graph",
+          "version": 1,
+          "title": "Downstream targets by source class",
+          "directed": true,
+          "layout": "circle",
+          "nodes": [
+            {
+              "id": "FBbt_00003763",
+              "label": "l-LNv",
+              "group": null,
+              "color": null,
+              "size": 4
+            },
+            {
+              "id": "FBbt_00005106",
+              "label": "neuron",
+              "group": null,
+              "color": null,
+              "size": 1.17
+            },
+            {
+              "id": "FBbt_00047095",
+              "label": "adult neuron",
+              "group": null,
+              "color": null,
+              "size": 1.17
+            },
+            {
+              "id": "FBbt_00059271",
+              "label": "CNS neuron",
+              "group": null,
+              "color": null,
+              "size": 1.17
+            },
+            {
+              "id": "FBbt_00059274",
+              "label": "adult CNS neuron",
+              "group": null,
+              "color": null,
+              "size": 1.17
+            },
+            {
+              "id": "FBbt_00007693",
+              "label": "sensory system neuron",
+              "group": null,
+              "color": null,
+              "size": 1.17
+            },
+            {
+              "id": "FBbt_00047736",
+              "label": "visual system neuron",
+              "group": null,
+              "color": null,
+              "size": 1.17
+            },
+            {
+              "id": "FBbt_00005125",
+              "label": "interneuron",
+              "group": null,
+              "color": null,
+              "size": 1.16
+            },
+            {
+              "id": "FBbt_00052046",
+              "label": "adult interneuron",
+              "group": null,
+              "color": null,
+              "size": 1.16
+            },
+            {
+              "id": "FBbt_00001366",
+              "label": "supraesophageal ganglion neuron",
+              "group": null,
+              "color": null,
+              "size": 1.16
+            },
+            {
+              "id": "FBbt_00003702",
+              "label": "adult optic lobe neuron",
+              "group": null,
+              "color": null,
+              "size": 1.15
+            },
+            {
+              "id": "FBbt_00059247",
+              "label": "adult visual neuropil intrinsic neuron",
+              "group": null,
+              "color": null,
+              "size": 1.15
+            },
+            {
+              "id": "FBbt_00007577",
+              "label": "adult optic lobe intrinsic neuron",
+              "group": null,
+              "color": null,
+              "size": 1.15
+            },
+            {
+              "id": "FBbt_00007173",
+              "label": "cholinergic neuron",
+              "group": null,
+              "color": null,
+              "size": 1.14
+            },
+            {
+              "id": "FBbt_00058205",
+              "label": "adult cholinergic neuron",
+              "group": null,
+              "color": null,
+              "size": 1.14
+            },
+            {
+              "id": "FBbt_00005129",
+              "label": "adult optic lobe columnar neuron",
+              "group": null,
+              "color": null,
+              "size": 1.14
+            },
+            {
+              "id": "FBbt_00007578",
+              "label": "optic lobe intrinsic columnar neuron",
+              "group": null,
+              "color": null,
+              "size": 1.14
+            },
+            {
+              "id": "FBbt_00047096",
+              "label": "secondary neuron",
+              "group": null,
+              "color": null,
+              "size": 1.13
+            },
+            {
+              "id": "FBbt_00110136",
+              "label": "optic lobe narrow field columnar neuron",
+              "group": null,
+              "color": null,
+              "size": 1.13
+            },
+            {
+              "id": "FBbt_00049539",
+              "label": "Notch ON hemilineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.13
+            },
+            {
+              "id": "FBbt_00049541",
+              "label": "Notch ON hemilineage secondary neuron",
+              "group": null,
+              "color": null,
+              "size": 1.13
+            }
+          ],
+          "edges": [
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00005106",
+              "label": "6184",
+              "weight": 6184
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00047095",
+              "label": "6184",
+              "weight": 6184
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00059271",
+              "label": "6052",
+              "weight": 6052
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00059274",
+              "label": "6052",
+              "weight": 6052
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00007693",
+              "label": "6017",
+              "weight": 6017
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00047736",
+              "label": "6017",
+              "weight": 6017
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00005125",
+              "label": "5780",
+              "weight": 5780
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00052046",
+              "label": "5780",
+              "weight": 5780
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00001366",
+              "label": "5693",
+              "weight": 5693
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00003702",
+              "label": "5399",
+              "weight": 5399
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00059247",
+              "label": "5377",
+              "weight": 5377
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00007577",
+              "label": "5377",
+              "weight": 5377
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00007173",
+              "label": "5198",
+              "weight": 5198
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00058205",
+              "label": "5198",
+              "weight": 5198
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00005129",
+              "label": "5106",
+              "weight": 5106
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00007578",
+              "label": "5052",
+              "weight": 5052
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00047096",
+              "label": "4721",
+              "weight": 4721
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00110136",
+              "label": "4654",
+              "weight": 4654
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00049539",
+              "label": "4548",
+              "weight": 4548
+            },
+            {
+              "source": "FBbt_00003763",
+              "target": "FBbt_00049541",
+              "label": "4548",
+              "weight": 4548
+            }
+          ]
+        }
+      ],
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 1389,
+        "status_count": 6
+      }
+    },
+    {
+      "attempt_index": 28,
+      "task_index": 28,
+      "task_id": "T4.5",
+      "tier": 4,
+      "title": "Novel circuit exploration",
+      "question": "What is the connectivity between thermosensory neurons and the mushroom body? Could temperature information influence memory formation?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 25761,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 2 terms in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Tracing the pathway",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 225,
+      "request_id": "becfa7f1-f391-4eac-8e5a-d37cb45ff52b",
+      "response_id": "chatcmpl-882f9ca38fe978a9577bb6629df425f2",
+      "images_count": 8,
+      "graphs_count": 1,
+      "response": "The connectivity between thermosensory neurons and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") is supported by VFB evidence, which suggests that thermosensory projection neurons relay temperature-detecting neurons to higher brain centers, including the mushroom body. This evidence indicates a plausible thermosensory influence on mushroom-body memory circuitry through thermosensory projection neurons. VFB holds various records related to thermosensory neurons, including downstream connectivity classes, and for the mushroom body, VFB has annotated numerous neurons with some part in the mushroom body, as well as parts of the mushroom body and tracts/nerves innervating it. The available VFB data includes downstream connectivity classes for [thermosensory neuron](https://www.virtualflybrain.org/reports/FBbt_00005918 \"Open thermosensory neuron in Virtual Fly Brain\") and neurons with some part in mushroom body, which can be further explored to understand the connectivity between these two entities. \n\nTo further investigate the relationship between thermosensory neurons and the mushroom body, you can query VFB for specific data, such as the subclasses of thermosensory neuron, transgene expression in thermosensory neuron, or neurons with synaptic terminals in mushroom body.",
+      "graphs": [
+        {
+          "type": "basic_graph",
+          "version": 1,
+          "title": "Downstream partners of thermosensory neuron",
+          "directed": true,
+          "layout": "circle",
+          "nodes": [
+            {
+              "id": "FBbt_00005918",
+              "label": "thermosensory neuron",
+              "group": null,
+              "color": null,
+              "size": 4
+            },
+            {
+              "id": "FBbt_00005106",
+              "label": "neuron",
+              "group": null,
+              "color": null,
+              "size": 1.35
+            },
+            {
+              "id": "FBbt_00047095",
+              "label": "adult neuron",
+              "group": null,
+              "color": null,
+              "size": 1.34
+            },
+            {
+              "id": "FBbt_00059271",
+              "label": "CNS neuron",
+              "group": null,
+              "color": null,
+              "size": 1.34
+            },
+            {
+              "id": "FBbt_00053396",
+              "label": "input/output neuron",
+              "group": null,
+              "color": null,
+              "size": 1.19
+            },
+            {
+              "id": "FBbt_00007392",
+              "label": "projection neuron",
+              "group": null,
+              "color": null,
+              "size": 1.19
+            },
+            {
+              "id": "FBbt_00100660",
+              "label": "BAlc lineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.19
+            },
+            {
+              "id": "FBbt_00007422",
+              "label": "antennal lobe projection neuron",
+              "group": null,
+              "color": null,
+              "size": 1.19
+            },
+            {
+              "id": "FBbt_00050025",
+              "label": "adult ALl1 lineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.19
+            },
+            {
+              "id": "FBbt_00067123",
+              "label": "adult antennal lobe projection neuron",
+              "group": null,
+              "color": null,
+              "size": 1.19
+            },
+            {
+              "id": "FBbt_00049911",
+              "label": "BAlc Notch OFF hemilineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.15
+            },
+            {
+              "id": "FBbt_00049540",
+              "label": "Notch OFF hemilineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.15
+            },
+            {
+              "id": "FBbt_00049539",
+              "label": "Notch ON hemilineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.14
+            },
+            {
+              "id": "FBbt_00049912",
+              "label": "BAlc Notch ON hemilineage neuron",
+              "group": null,
+              "color": null,
+              "size": 1.14
+            },
+            {
+              "id": "FBbt_00051493",
+              "label": "local neuron",
+              "group": null,
+              "color": null,
+              "size": 1.14
+            },
+            {
+              "id": "FBbt_00052874",
+              "label": "antennal lobe local neuron",
+              "group": null,
+              "color": null,
+              "size": 1.14
+            }
+          ],
+          "edges": [
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00005106",
+              "label": "78601",
+              "weight": 78601
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00047095",
+              "label": "77005",
+              "weight": 77005
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00059271",
+              "label": "75663",
+              "weight": 75663
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00053396",
+              "label": "43055",
+              "weight": 43055
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00007392",
+              "label": "42907",
+              "weight": 42907
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00100660",
+              "label": "42011",
+              "weight": 42011
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00007422",
+              "label": "41794",
+              "weight": 41794
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00050025",
+              "label": "41722",
+              "weight": 41722
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00067123",
+              "label": "41646",
+              "weight": 41646
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00049911",
+              "label": "32974",
+              "weight": 32974
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00049540",
+              "label": "32974",
+              "weight": 32974
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00049539",
+              "label": "30896",
+              "weight": 30896
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00049912",
+              "label": "30886",
+              "weight": 30886
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00051493",
+              "label": "30596",
+              "weight": 30596
+            },
+            {
+              "source": "FBbt_00005918",
+              "target": "FBbt_00052874",
+              "label": "30596",
+              "weight": 30596
+            }
+          ]
+        }
+      ],
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 1358,
+        "status_count": 6
+      }
+    },
+    {
+      "attempt_index": 29,
+      "task_index": 29,
+      "task_id": "T4.6",
+      "tier": 4,
+      "title": "Data availability survey",
+      "question": "I'm interested in studying the subesophageal zone (SEZ). How well-characterised is this region in VFB? What neuron types are annotated, what connectomics data is available, and what genetic tools exist for SEZ neurons?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 40125,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB term info",
+          "phase": "mcp"
+        },
+        {
+          "message": "Finding genetic tools",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 272,
+      "request_id": "2946d03b-d324-4e81-ba98-125df0c8f072",
+      "response_id": "chatcmpl-4f496ed4fafee655ade73a7693741a7b",
+      "images_count": 1,
+      "graphs_count": 0,
+      "response": "The [subesophageal zone](https://www.virtualflybrain.org/reports/FBbt_00051068 \"Open subesophageal zone in Virtual Fly Brain\") is characterised in VFB with available data on neuron types and connectomics. VFB records show that neurons with some part in the subesophageal zone can be queried for their count, which would provide information on the types of neurons present in this region. Additionally, transgene expression in the subesophageal zone can also be queried for its count, providing data on the genetic tools available for studying this region. \n\nThe connectome data indicates that connectivity information for the subesophageal zone can be explored through VFB. VFB holds records of parts of the subesophageal zone and subclasses of the subesophageal zone, which can be used to further understand the region's structure and organization.\n\nVFB has annotated 4205 genetic tool/expression pattern rows for the subesophageal zone, including GAL4 drivers and binary/intersectional drivers, which can be used to study SEZ neurons. To access more specific information on the neuron types, connectomics data, and genetic tools available for the subesophageal zone, you can run the available queries in VFB, such as NeuronsPartHere and TransgeneExpressionHere. VFB does not currently hold pre-counted data on these aspects, but running these queries can provide the desired information.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 1389,
+        "status_count": 6
+      }
+    },
+    {
+      "attempt_index": 30,
+      "task_index": 30,
+      "task_id": "G1",
+      "tier": 5,
+      "title": "Graph view regression - medulla region connectivity",
+      "question": "what are the class summarised connectivity from the medulla in graph form",
+      "requires_graph": true,
+      "min_graphs": 1,
+      "repetition": 1,
+      "ok": false,
+      "duration_ms": 22951,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB term info",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 328,
+      "request_id": "3f256345-39e0-44ef-b0ad-04015078af2f",
+      "response_id": "chatcmpl-21b4f09b6d47808475a6add2eda54297",
+      "images_count": 4,
+      "graphs_count": 0,
+      "response": "To understand the class summarised connectivity from the [medulla](https://www.virtualflybrain.org/reports/FBbt_00003748 \"Open medulla in Virtual Fly Brain\"), we can look at the available data in VFB. VFB holds records of Neurons with some part in medulla, Neurons with synaptic terminals in medulla, Neurons with presynaptic terminals in medulla, and Neurons with postsynaptic terminals in medulla. The connectome data indicates that these neurons have specific connections. \n\nThe medulla's connectivity can be summarised by examining the neurons that have some part in the medulla, as well as those with synaptic, presynaptic, and postsynaptic terminals in the medulla. VFB records show that there are neurons with these characteristics, but the exact nature of their connections would depend on the specific query results. \n\nFor example, running the query for Neurons with some part in medulla would provide a list of neurons that are connected to the medulla, while running the query for Neurons with synaptic terminals in medulla would provide information on the specific synaptic connections within the medulla. Similarly, queries for presynaptic and postsynaptic terminals would provide more detailed information on the direction of these connections. \n\nVFB has annotated a number of these records, and the specific counts can be obtained by running the respective queries. The available data includes images of neurons with some part in medulla, which could provide visual information on the connectivity. \n\nTo further understand the class summarised connectivity from the medulla, one could run the available queries in VFB and examine the results. This would provide more detailed information on the specific neurons and connections involved.",
+      "error": "Expected at least 1 graph(s), received 0.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": true,
+        "used_data_resource": false,
+        "response_chars": 1752,
+        "status_count": 6
+      }
+    },
+    {
+      "attempt_index": 31,
+      "task_index": 31,
+      "task_id": "D1",
+      "tier": 6,
+      "title": "Project identity",
+      "question": "What is Virtual Fly Brain and who is it for?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 12600,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning (direct lookup)",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB term info",
+          "phase": "mcp"
+        },
+        {
+          "message": "Checking the literature",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 170,
+      "request_id": "930eddcc-2221-488f-a2be-af9cc6f2f78f",
+      "response_id": "chatcmpl-d2c8cbd8fab1f02985618bdec37228a2",
+      "images_count": 0,
+      "graphs_count": 0,
+      "response": "Virtual Fly Brain is a database and online resource for Drosophila neuroscience. It appears to be designed for users who are interested in exploring and analyzing the neural structures and functions of the fruit fly, Drosophila melanogaster. \n\nAs for who it is for, Virtual Fly Brain seems to be intended for researchers and scientists in the field of neuroscience, particularly those who study Drosophila. However, without more specific information, it is uncertain who the exact target audience is.\n\nThe AVAILABLE VFB DATA shows that there are various types of data available related to the term \"[fkh](https://www.virtualflybrain.org/reports/FBgn0000659 \"Open fkh in Virtual Fly Brain\")\", including parts of fkh, subclasses of fkh, clusters expressing fkh, and fly stocks for fkh. Running the respective queries can provide the counts of records VFB holds for each of these categories.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 888,
+        "status_count": 6
+      }
+    },
+    {
+      "attempt_index": 32,
+      "task_index": 32,
+      "task_id": "D2",
+      "tier": 6,
+      "title": "Citation",
+      "question": "How should I cite Virtual Fly Brain in a publication?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 12097,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB documentation",
+          "phase": "mcp"
+        },
+        {
+          "message": "Checking the literature",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 71,
+      "request_id": "5e63e340-64c6-4779-9f45-074adbe6c058",
+      "response_id": "chatcmpl-44363fb4cf8d914b7b765d9084e6484a",
+      "images_count": 0,
+      "graphs_count": 0,
+      "response": "To cite Virtual Fly Brain in a publication, you should consult the Virtual Fly Brain documentation for the most up-to-date citation information. VFB does not currently hold specific citation guidelines in the available data. You may need to look for a general citation guide or contact the Virtual Fly Brain team directly for the most accurate information.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 356,
+        "status_count": 6
+      }
+    },
+    {
+      "attempt_index": 33,
+      "task_index": 33,
+      "task_id": "D3",
+      "tier": 6,
+      "title": "Funding",
+      "question": "Who funds Virtual Fly Brain and since when?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 9309,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB documentation",
+          "phase": "mcp"
+        },
+        {
+          "message": "Checking the literature",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 22,
+      "request_id": "bfa1c099-1a79-4385-a304-a051cc208237",
+      "response_id": "chatcmpl-c277b543e5cce9b5324715f67a3654a5",
+      "images_count": 0,
+      "graphs_count": 0,
+      "response": "VFB does not currently hold data on the funding of Virtual Fly Brain.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 69,
+        "status_count": 6
+      }
+    },
+    {
+      "attempt_index": 34,
+      "task_index": 34,
+      "task_id": "D4",
+      "tier": 6,
+      "title": "Policies / accessibility",
+      "question": "What is Virtual Fly Brain's accessibility statement?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 8356,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning (direct lookup)",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
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+      "response": "Bridging registrations between brain templates in VFB are not directly described in the provided evidence or resolved entities. However, VFB does hold various data related to the [neurosecretory cell of brain](https://www.virtualflybrain.org/reports/FBbt_00052760 \"Open neurosecretory cell of brain in Virtual Fly Brain\"), including available images, splits targeting this cell type, subclasses, scRNAseq data, transgene expression, and both downstream and upstream connectivity classes. To find information on bridging registrations, it might be necessary to query VFB's documentation or explore its database more broadly, as the current evidence does not provide a direct answer to this question.",
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+      "question": "What imaging data types and brain templates does Virtual Fly Brain hold?",
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+      "response": "Virtual Fly Brain holds various imaging data types and brain templates. The specific types and templates available can be found by querying the Virtual Fly Brain database. VFB does not currently hold a comprehensive list of all imaging data types and brain templates in its documentation. To find the available data, it is recommended to explore the Virtual Fly Brain database and tools directly. VFB holds annotated data for certain brain templates and imaging data types, but the full extent of this data is only accessible through the database itself.",
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+      "response": "What specific aspect of the latest Virtual Fly Brain release are you interested in?",
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+      "title": "API: VFB-connect (Python)",
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+      "response": "What specific aspect of VFB-connect in Python do you need help with?",
+      "quality_flags": {
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+    {
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+      "title": "API: REST endpoints",
+      "question": "How can I query Virtual Fly Brain programmatically using the SOLR or Owlery API?",
+      "requires_graph": false,
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+      "ok": true,
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+      "request_id": "859ac214-e88b-462f-ab65-03048f3d71de",
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+      "response": "To query Virtual Fly Brain programmatically, you can use either the SOLR or Owlery API. The Owlery API provides OWL reasoning services for Virtual Fly Brain's ontologies, enabling complex queries over class hierarchies and relationships. The SOLR Search API provides fast text search and autocomplete functionality for Virtual Fly Brain entities, datasets, and publications. This information comes from the Virtual Fly Brain documentation, as indicated by the reference to \"search_reviewed_docs\". VFB does not currently hold detailed documentation on the specific API endpoints and query parameters, but the provided information suggests that both APIs can be used for programmatic querying. For more detailed information on using the SOLR or Owlery API, you may need to consult the Virtual Fly Brain documentation or contact their support team.",
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+      "title": "API: integrations",
+      "question": "How do I explore Virtual Fly Brain neurons using Navis or pymaid?",
+      "requires_graph": false,
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+          "message": "Resolving 2 terms in VFB",
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+        },
+        {
+          "message": "Resolving 2 terms in VFB",
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+      "response": "To explore Virtual Fly Brain neurons using Navis or pymaid, you can utilize these tools to analyze and visualize neuronal data. Navis is a Python package for working with neuronal morphology data, and pymaid is a Python package for working with CATMAID (Collaborative Annotation Toolkit for Massive Amounts of Image Data) datasets. \n\nThe Virtual Fly Brain database holds various neuronal data that can be accessed and visualized using these tools. However, VFB does not currently hold specific documentation or tutorials on using Navis or pymaid directly with Virtual Fly Brain data. \n\nYou can explore the Virtual Fly Brain database to find relevant neuronal data, and then use Navis or pymaid to analyze and visualize this data. VFB holds a large collection of neuronal data, including neuron morphology and connectivity data. \n\nFor more information on using Navis or pymaid, you can refer to their respective documentation and tutorials. without more specific information or evidence, I am uncertain about the exact steps to explore Virtual Fly Brain neurons using these tools.",
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+      "response": "What specific aspect of the Virtual Fly Brain Model Context Protocol tool do you need help with?",
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+      "question": "When did predicted neurotransmitters for EM data become available on VFB?",
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+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 133,
+      "request_id": "7cf6fb6c-1197-4187-910f-74be3f464387",
+      "response_id": "chatcmpl-7b1d94cfeffb8996392070577dadd8ee",
+      "images_count": 0,
+      "graphs_count": 0,
+      "response": "The NeuroFly 2026 conference will be held at the University of Cologne, Germany, from September 7th to 11th, 2026, as stated in the documentation from https://www.virtualflybrain.org/blog/2025/12/17/neurofly-2026-21st-biennial-european-drosophila-neurobiology-conference. VFB does not currently hold additional data on this conference.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 335,
+        "status_count": 43
+      }
+    },
+    {
+      "attempt_index": 49,
+      "task_index": 49,
+      "task_id": "D19",
+      "tier": 6,
+      "title": "Workshops / training",
+      "question": "What materials are available from the VFB 'Hacking the connectome' workshop?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 21979,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Reading VFB documentation",
+          "phase": "mcp"
+        },
+        {
+          "message": "Querying VFB connectivity",
+          "phase": "mcp"
+        },
+        {
+          "message": "Checking VFB documentation",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 180,
+      "request_id": "a9444af7-76bf-43c3-b6a2-3814197d31a8",
+      "response_id": "chatcmpl-cbb790847d5942d91a94048421a0130f",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "The Virtual Fly Brain database holds various records related to the [adult ventral fan-shaped body tangential neuron](https://www.virtualflybrain.org/reports/FBbt_00049538 \"Open adult ventral fan-shaped body tangential neuron in Virtual Fly Brain\"), including available images, splits targeting this neuron, subclasses, transgene expression, downstream connectivity classes, and upstream connectivity classes. \n\nRegarding the 'Hacking the connectome' workshop, the Virtual Fly Brain database indicates that materials from this workshop are available, with tutorials from the Virtual Fly Brain \"Hacking the connectome\" workshop that was run in collaboration with the Drosophila Connectomics Group based at the Dept of Zoology, University of Cambridge. \n\nTo explore the available data, you can query the Virtual Fly Brain database for the counts of records it holds for the adult ventral fan-shaped body tangential neuron, such as the number of available images, splits, subclasses, transgene expression records, downstream connectivity classes, and upstream connectivity classes.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 1078,
+        "status_count": 7
+      }
+    },
+    {
+      "attempt_index": 50,
+      "task_index": 50,
+      "task_id": "D20",
+      "tier": 6,
+      "title": "Hosted / archived sites",
+      "question": "Where can I access the FAFB or FANC CATMAID datasets via Virtual Fly Brain?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 17020,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 3 terms in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 207,
+      "request_id": "208d6898-7681-4101-9496-ef2ec72e50b1",
+      "response_id": "chatcmpl-c4ae83d7e072f63500863724961f8701",
+      "images_count": 2,
+      "graphs_count": 0,
+      "response": "To access the FAFB or FANC CATMAID datasets via Virtual Fly Brain, you can utilize the available queries for the resolved entities. For [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), VFB holds data on Neurons connected to DNp44 (FAFB:3094186), which can be accessed by running the corresponding query to obtain the count of connected neurons. Similarly, for [neuron 2232 (FANC:492501)](https://www.virtualflybrain.org/reports/VFB_001027ke \"Open neuron 2232 (FANC:492501) in Virtual Fly Brain\"), VFB has annotated data on Neurons with similar morphology to neuron 2232 (FANC:492501) using the NBLAST algorithm, and running this query will provide the count of such neurons. However, the specific steps or interface to directly access the FAFB or FANC CATMAID datasets are not specified in the available information.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 894,
+        "status_count": 43
+      }
+    },
+    {
+      "attempt_index": 51,
+      "task_index": 51,
+      "task_id": "D21",
+      "tier": 6,
+      "title": "Anatomy teaching diagrams",
+      "question": "Is there a circuit diagram of the mushroom body available on Virtual Fly Brain?",
+      "requires_graph": false,
+      "min_graphs": 0,
+      "repetition": 1,
+      "ok": true,
+      "duration_ms": 14389,
+      "status_messages": [
+        {
+          "message": "Thinking...",
+          "phase": "llm"
+        },
+        {
+          "message": "Planning the answer",
+          "phase": "llm"
+        },
+        {
+          "message": "Resolving 1 term in VFB",
+          "phase": "mcp"
+        },
+        {
+          "message": "Searching VFB terms",
+          "phase": "mcp"
+        },
+        {
+          "message": "Checking the literature",
+          "phase": "mcp"
+        },
+        {
+          "message": "Writing the answer",
+          "phase": "llm"
+        }
+      ],
+      "event_count": 177,
+      "request_id": "3a3f2d98-97cc-47f4-9525-09036d10b7d5",
+      "response_id": "chatcmpl-5b2235b350614a764e621dc15fb6ac34",
+      "images_count": 8,
+      "graphs_count": 0,
+      "response": "To determine if a circuit diagram of the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") is available on Virtual Fly Brain, we can look at the available data. VFB holds various records related to the mushroom body, including images, neurons with specific parts or terminals in the mushroom body, parts of the mushroom body, and more. However, the specific availability of a circuit diagram is not directly indicated by the provided counts. VFB has annotated a large number of images of neurons with some part in the mushroom body and other related data, which could potentially be used to construct or understand the circuitry of the mushroom body. For detailed circuit diagrams, one would need to explore the specific images and neuronal connectivity data available in VFB. VFB does not currently hold explicit information on circuit diagrams in the provided data, but it has extensive information on the structure and components of the mushroom body.",
+      "quality_flags": {
+        "has_tool_status": true,
+        "no_tool_factual_answer": false,
+        "tool_claim_without_tool": false,
+        "disambiguation_only_answer": false,
+        "investigation_plan_answer": false,
+        "not_verified_or_no_results_answer": false,
+        "graph_failure_mentioned": false,
+        "missing_required_graph": false,
+        "used_data_resource": false,
+        "response_chars": 1017,
+        "status_count": 6
+      }
+    }
+  ]
+}
diff --git a/tests/unit/queryTypes.test.mjs b/tests/unit/queryTypes.test.mjs
index 148ae4c..cd23abd 100644
--- a/tests/unit/queryTypes.test.mjs
+++ b/tests/unit/queryTypes.test.mjs
@@ -3,7 +3,7 @@
 
 import { test } from 'node:test'
 import assert from 'node:assert/strict'
-import { querySemantics, isIndividualImageQuery, QUERY_SEMANTICS } from '../../lib/queryTypes.mjs'
+import { querySemantics, isIndividualImageQuery, queryTypeTag, QUERY_SEMANTICS } from '../../lib/queryTypes.mjs'
 
 test('individual-image queries are classified as image queries (count = images)', () => {
   for (const qt of ['ImagesNeurons', 'ListAllAvailableImages', 'AllAlignedImages']) {
@@ -33,3 +33,12 @@ test('every entry has a kind and a countNoun', () => {
     assert.ok(s.countNoun, `${qt} missing countNoun`)
   }
 })
+
+test('queryTypeTag types a query: kind + count meaning (+ use when defined)', () => {
+  const img = queryTypeTag('ImagesNeurons')
+  assert.match(img, /^ImagesNeurons — individual images; count = images of neurons; use for /)
+  const cls = queryTypeTag('PartsOf')
+  assert.match(cls, /^PartsOf — ontology classes; thumbnails are examples; count = subparts/)
+  // unknown types still tag safely
+  assert.match(queryTypeTag('Mystery'), /^Mystery — results; count = results$/)
+})
diff --git a/tests/unit/termInfoDigest.test.mjs b/tests/unit/termInfoDigest.test.mjs
index 7c68794..a0aae2b 100644
--- a/tests/unit/termInfoDigest.test.mjs
+++ b/tests/unit/termInfoDigest.test.mjs
@@ -156,10 +156,26 @@ test('uncounted (-1) queries are kept and flagged to be run, not dropped as "no
   assert.ok(!labels.includes('Nothing here'))
 
   const text = termInfoToDigestText(UNCOUNTED)
-  // The image query is surfaced with an explicit "run this query" instruction
-  // naming the query_type and what its count is (images), not hidden / bare -1.
-  assert.match(text, /Images of neurons with some part in the medulla: run this query — call vfb_run_query with query_type ImagesNeurons to get the number of images of neurons/)
+  // The image query is surfaced (not hidden / bare -1) and typed as an individual-
+  // image query so the model reads its count as images, not classes.
+  assert.match(text, /Images of neurons with some part in the medulla: not pre-counted — run this query to get its count of images of neurons \[ImagesNeurons — individual images/)
   assert.doesNotMatch(text, /-1/)
-  // counted query renders its number with the right unit (subclasses, not images)
+  // the counted CLASS query is typed as ontology classes, so its count can't be
+  // mistaken for an image count — this is the "28 images" fix at source
   assert.match(text, /Subclasses of medulla: 4 subclasses/)
+  assert.match(text, /\[SubclassesOf — ontology classes; thumbnails are examples; count = subclasses/)
+})
+
+test('digest typing distinguishes an image query from a class query on the same term', () => {
+  const term = {
+    Name: 'medulla', Id: 'FBbt_00003748', Meta: { Name: '[medulla](FBbt_00003748)' },
+    Queries: [
+      { query: 'ImagesNeurons', label: 'Images of neurons with some part in medulla', count: 226524, preview_results: { rows: [] } },
+      { query: 'PartsOf', label: 'Parts of medulla', count: 28, preview_results: { rows: [] } }
+    ]
+  }
+  const text = termInfoToDigestText(term)
+  assert.match(text, /Images of neurons with some part in medulla: 226524 images of neurons \[ImagesNeurons — individual images/)
+  // PartsOf's 28 is explicitly typed as classes/subparts, not images
+  assert.match(text, /Parts of medulla: 28 subparts \[PartsOf — ontology classes; thumbnails are examples; count = subparts/)
 })