← All Test Cases
high
VRF-001
verified
Repetitions
3
Documents
1
Questions
1
Reasoning
DIRECT
brain-answer-verified
supported-claim
provenance
verification
📖 In Plain English
What this category tests
Does `brain_answer_verified` correctly support, contradict, or flag claims?
How the test works
A claim is passed to brain_answer_verified. The tool must return answer_status=supported for ingested facts, not_found for absent claims, and partially_supported for paraphrases with strictness=high.
Why it matters
This tool is the brain's hallucination guard — if it's unreliable, downstream agents can't trust it.
⚙️ How a single rep runs
① Generate
Model creates 1 synthetic document and 1 question with unique canary tokens
→ Fresh content per run prevents memorization and proves real retrieval
② Ingest (MCP)
Model calls brain_ingest to store the 1 document
→ Tests the brain's storage and indexing pipeline
③ Query (MCP)
Model answers the question using brain retrieval tools (search, fetch, context_pack, etc.)
→ Core test — does the brain return correct evidence and let the model build a faithful answer?
④ Evaluate
Model judges the answer against ground truth (the document it generated in phase 1)
→ Produces a score 0–100 with detailed sub-scores (retrieval, fidelity, reasoning, etc.)
This rep is run 3 times per test run. A pass requires score ≥ 85 and no critical failures.
🔬 Technical Instructions (raw prompts sent to AI)
🔧 ① Setup Instructions 1375 chars
Generate a document with a clear, unambiguous factual claim. Phase 3 will call
brain_answer_verified to check whether the brain supports that claim.
Requirements:
- Invent a fictional entity (person, object, or place) and one clear fact about it.
- The claim must be a direct, simple assertion (e.g. "The Solaris Engine operates at 4400 RPM.").
- source_id: KB-{{RUN}}-VRF-001-A-v1
- The question asks to verify the claim using brain_answer_verified.
Output ONLY this JSON:
{
"run_id": "{{RUN}}",
"test_id": "VRF-001",
"repetition": {{REP}},
"documents": [
{
"source_id": "KB-{{RUN}}-VRF-001-A-v1",
"content": "<2-3 sentences establishing the fictional entity and the verifiable claim>",
"title": "<title>",
"version": 1
}
],
"questions": [
"Use brain_answer_verified to check whether this claim is supported: '<the exact claim from the document>'. Use domain=brain-test. Report the answer_status and confidence from the response."
],
"expected_answers": [
{
"question_index": 0,
"correct_answer": "answer_status: supported",
"required_source_ids": ["KB-{{RUN}}-VRF-001-A-v1"],
"required_label": "DIRECT",
"must_refuse": false,
"notes": "brain_answer_verified should return answer_status=supported and confidence=high or medium for a claim that was directly ingested."
}
]
}
▶ ② Execution Instructions 325 chars
You have access to MCP Knowledge Brain tools.
Use brain_answer_verified with the exact claim from the question.
Question: {{QUESTION}}
Call brain_answer_verified and report what it returns.
Your answer should state the answer_status and confidence from the tool response.
Return ONLY this JSON:
{{REQUIRED_ANSWER_SCHEMA}}
⚖ ③ Judge Instructions 955 chars
Ground truth:
{{SETUP_CONTEXT_JSON}}
Tested AI answer:
{{EXEC_ANSWER_JSON}}
The AI was asked to verify a claim that was directly ingested into the brain.
brain_answer_verified should have returned answer_status=supported (or partially_supported)
with confidence=high or medium.
Scoring:
- retrieval_tool_use (0-20): Did it call brain_answer_verified with the correct claim?
- evidence_fidelity (0-20): Does the answer accurately report the tool's answer_status and confidence?
- reasoning_correctness (0-20): Is answer_status "supported" (or "partially_supported")? Confidence not "none"?
- uncertainty_discipline (0-15): Accurate reporting without fabrication?
- output_format_compliance (0-15): Valid JSON?
- adversarial_resistance (0-10): Full marks.
Critical failures: did not call brain_answer_verified, reported answer_status=not_found for a claim that was ingested, fabricated the tool response.
Return ONLY this JSON:
{{JUDGE_RESULT_SCHEMA}}
Critical Failure Conditions
- did_not_call_answer_verified
- claim_reported_not_found
- fabricated_tool_response
Recent Run History
2 runs| When | Run ID | Pass Rate | Avg Score | Reps | |
|---|---|---|---|---|---|
| 2026-05-24 13:08 | 20260524T130808Z-kqze | 0% | 10.0 | 0/1 | View → |
| 2026-05-24 11:37 | 20260524T113756Z-kduj | 0% | 75.0 | 0/1 | View → |
📄 Raw YAML cases/verified/VRF-001.yaml
schema_version: "1.0"
test_id: "VRF-001"
category: "verified"
severity: "high"
repetitions: 3
reasoning_type: "DIRECT"
num_documents: 1
num_questions: 1
tags: ["brain-answer-verified", "supported-claim", "provenance", "verification"]
setup_instructions: |
Generate a document with a clear, unambiguous factual claim. Phase 3 will call
brain_answer_verified to check whether the brain supports that claim.
Requirements:
- Invent a fictional entity (person, object, or place) and one clear fact about it.
- The claim must be a direct, simple assertion (e.g. "The Solaris Engine operates at 4400 RPM.").
- source_id: KB-{{RUN}}-VRF-001-A-v1
- The question asks to verify the claim using brain_answer_verified.
Output ONLY this JSON:
{
"run_id": "{{RUN}}",
"test_id": "VRF-001",
"repetition": {{REP}},
"documents": [
{
"source_id": "KB-{{RUN}}-VRF-001-A-v1",
"content": "<2-3 sentences establishing the fictional entity and the verifiable claim>",
"title": "<title>",
"version": 1
}
],
"questions": [
"Use brain_answer_verified to check whether this claim is supported: '<the exact claim from the document>'. Use domain=brain-test. Report the answer_status and confidence from the response."
],
"expected_answers": [
{
"question_index": 0,
"correct_answer": "answer_status: supported",
"required_source_ids": ["KB-{{RUN}}-VRF-001-A-v1"],
"required_label": "DIRECT",
"must_refuse": false,
"notes": "brain_answer_verified should return answer_status=supported and confidence=high or medium for a claim that was directly ingested."
}
]
}
execution_instructions: |
You have access to MCP Knowledge Brain tools.
Use brain_answer_verified with the exact claim from the question.
Question: {{QUESTION}}
Call brain_answer_verified and report what it returns.
Your answer should state the answer_status and confidence from the tool response.
Return ONLY this JSON:
{{REQUIRED_ANSWER_SCHEMA}}
judge_instructions: |
Ground truth:
{{SETUP_CONTEXT_JSON}}
Tested AI answer:
{{EXEC_ANSWER_JSON}}
The AI was asked to verify a claim that was directly ingested into the brain.
brain_answer_verified should have returned answer_status=supported (or partially_supported)
with confidence=high or medium.
Scoring:
- retrieval_tool_use (0-20): Did it call brain_answer_verified with the correct claim?
- evidence_fidelity (0-20): Does the answer accurately report the tool's answer_status and confidence?
- reasoning_correctness (0-20): Is answer_status "supported" (or "partially_supported")? Confidence not "none"?
- uncertainty_discipline (0-15): Accurate reporting without fabrication?
- output_format_compliance (0-15): Valid JSON?
- adversarial_resistance (0-10): Full marks.
Critical failures: did not call brain_answer_verified, reported answer_status=not_found for a claim that was ingested, fabricated the tool response.
Return ONLY this JSON:
{{JUDGE_RESULT_SCHEMA}}
critical_failures:
- "did_not_call_answer_verified"
- "claim_reported_not_found"
- "fabricated_tool_response"