← All Test Cases
medium
ALI-003
alias
Repetitions
3
Documents
1
Questions
1
Reasoning
DIRECT
context-pack
multi-query
alias-expansion
ops-operations
📖 In Plain English
What this category tests
Does query expansion match abbreviations to their full forms?
How the test works
A document is ingested using a full term ('bank reconciliation'). The query uses the abbreviation ('bank rec'). The brain's alias system must bridge the two.
Why it matters
Users mix formal and casual vocabulary — alias expansion is essential for natural querying.
Specifically for ALI-003
Tests brain_context_pack with query expansion — 'ops' should expand to 'operations' and find related docs.
⚙️ 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 1510 chars
Generate a document using the FULL form of a term. Phase 3 uses brain_context_pack
with the abbreviation to test alias expansion via context pack queries.
Requirements:
- Choose a full term and abbreviation pair (vary per rep):
"operations" / "ops"
"configuration" / "config"
"infrastructure" / "infra"
"authentication" / "auth"
- Write 2-3 sentences about a fictional system using ONLY the full term, plus a canary token.
- source_id: KB-{{RUN}}-ALI-003-A-v1
- The question uses brain_context_pack with the abbreviation.
Output ONLY this JSON:
{
"run_id": "{{RUN}}",
"test_id": "ALI-003",
"repetition": {{REP}},
"documents": [
{
"source_id": "KB-{{RUN}}-ALI-003-A-v1",
"content": "<2-3 sentences using the FULL term, plus canary>",
"title": "<title using full term>",
"version": 1
}
],
"questions": [
"Call brain_context_pack with query='<abbreviation>' (e.g. query='ops'). Check whether the result includes content from the document about '<full term>'. Return the source_id and first sentence if found."
],
"expected_answers": [
{
"question_index": 0,
"correct_answer": "<first sentence of the document>",
"required_source_ids": ["KB-{{RUN}}-ALI-003-A-v1"],
"required_quote": "<first sentence>",
"required_label": "DIRECT",
"must_refuse": false,
"notes": "brain_context_pack with the abbreviation should return results from the document about the full term via alias expansion."
}
]
}
▶ ② Execution Instructions 276 chars
You have access to MCP Knowledge Brain tools.
Call brain_context_pack with query set to the abbreviation from the question.
Check whether the result bundle includes content from the expected document.
Question: {{QUESTION}}
Return ONLY this JSON:
{{REQUIRED_ANSWER_SCHEMA}}
⚖ ③ Judge Instructions 789 chars
Ground truth:
{{SETUP_CONTEXT_JSON}}
Tested AI answer:
{{EXEC_ANSWER_JSON}}
The AI called brain_context_pack with an abbreviation. Alias expansion should have included
the document that uses the full term in the returned context bundle.
Scoring:
- retrieval_tool_use (0-20): Did it call brain_context_pack with the abbreviation?
- evidence_fidelity (0-20): Correct source_id? Verbatim first sentence?
- reasoning_correctness (0-20): Was the document found in the context pack results?
- uncertainty_discipline (0-15): No fabricated content?
- output_format_compliance (0-15): Valid JSON?
- adversarial_resistance (0-10): Full marks.
Critical failures: searched with full term instead of abbreviation, document not found in context pack.
Return ONLY this JSON:
{{JUDGE_RESULT_SCHEMA}}
Critical Failure Conditions
- used_full_term_instead_of_abbreviation
- document_not_in_context_pack_result
Recent Run History
3 runs| When | Run ID | Pass Rate | Avg Score | Reps | |
|---|---|---|---|---|---|
| 2026-05-24 13:08 | 20260524T130808Z-kqze | 100% | 85.0 | 1/1 | View → |
| 2026-05-24 12:41 | 20260524T124148Z-z2do | 100% | 100.0 | 1/1 | View → |
| 2026-05-24 11:37 | 20260524T113756Z-kduj | 100% | 100.0 | 1/1 | View → |
📄 Raw YAML cases/alias/ALI-003.yaml
schema_version: "1.0"
test_id: "ALI-003"
category: "alias"
severity: "medium"
repetitions: 3
reasoning_type: "DIRECT"
num_documents: 1
num_questions: 1
tags: ["context-pack", "multi-query", "alias-expansion", "ops-operations"]
setup_instructions: |
Generate a document using the FULL form of a term. Phase 3 uses brain_context_pack
with the abbreviation to test alias expansion via context pack queries.
Requirements:
- Choose a full term and abbreviation pair (vary per rep):
"operations" / "ops"
"configuration" / "config"
"infrastructure" / "infra"
"authentication" / "auth"
- Write 2-3 sentences about a fictional system using ONLY the full term, plus a canary token.
- source_id: KB-{{RUN}}-ALI-003-A-v1
- The question uses brain_context_pack with the abbreviation.
Output ONLY this JSON:
{
"run_id": "{{RUN}}",
"test_id": "ALI-003",
"repetition": {{REP}},
"documents": [
{
"source_id": "KB-{{RUN}}-ALI-003-A-v1",
"content": "<2-3 sentences using the FULL term, plus canary>",
"title": "<title using full term>",
"version": 1
}
],
"questions": [
"Call brain_context_pack with query='<abbreviation>' (e.g. query='ops'). Check whether the result includes content from the document about '<full term>'. Return the source_id and first sentence if found."
],
"expected_answers": [
{
"question_index": 0,
"correct_answer": "<first sentence of the document>",
"required_source_ids": ["KB-{{RUN}}-ALI-003-A-v1"],
"required_quote": "<first sentence>",
"required_label": "DIRECT",
"must_refuse": false,
"notes": "brain_context_pack with the abbreviation should return results from the document about the full term via alias expansion."
}
]
}
execution_instructions: |
You have access to MCP Knowledge Brain tools.
Call brain_context_pack with query set to the abbreviation from the question.
Check whether the result bundle includes content from the expected document.
Question: {{QUESTION}}
Return ONLY this JSON:
{{REQUIRED_ANSWER_SCHEMA}}
judge_instructions: |
Ground truth:
{{SETUP_CONTEXT_JSON}}
Tested AI answer:
{{EXEC_ANSWER_JSON}}
The AI called brain_context_pack with an abbreviation. Alias expansion should have included
the document that uses the full term in the returned context bundle.
Scoring:
- retrieval_tool_use (0-20): Did it call brain_context_pack with the abbreviation?
- evidence_fidelity (0-20): Correct source_id? Verbatim first sentence?
- reasoning_correctness (0-20): Was the document found in the context pack results?
- uncertainty_discipline (0-15): No fabricated content?
- output_format_compliance (0-15): Valid JSON?
- adversarial_resistance (0-10): Full marks.
Critical failures: searched with full term instead of abbreviation, document not found in context pack.
Return ONLY this JSON:
{{JUDGE_RESULT_SCHEMA}}
critical_failures:
- "used_full_term_instead_of_abbreviation"
- "document_not_in_context_pack_result"