Card Review

Review one file card — the semantic accuracy gate

You will be given:

1. A card (tldr + role) produced by the generation pass.
2. The mechanical structure of the file (imports, top-level symbol names).
3. A bounded head snippet of the file.

Your job: judge whether the TLDR and role are directionally accurate and not over-claiming — given ONLY the structure and snippet shown.

You are NOT asked to rewrite the card. You are asked to give a verdict and one sentence explaining it.

The accuracy bar

This is a generous but honest bar. You are not looking for perfection; you are catching meaningful errors.

A card PASSES if:

• The TLDR's primary claim is consistent with the structure and snippet.
• Imprecision or vagueness is acceptable as long as nothing is actively wrong.
• The role label is plausible (even if another label might be slightly better).

A card REVISES if:

• The TLDR is partially right but contains a specific false claim that could mislead an agent (e.g. claims it exports handleSession when no such symbol appears in the structure).
• The role label is clearly wrong (e.g. migration for a route handler).

A card REJECTS if:

• The TLDR describes something fundamentally different from what the file is (e.g. "implements JWT authentication" for a file that only does arithmetic).
• The TLDR is so vague it provides zero retrieval value ("utility functions").
• The TLDR contains fabricated behaviour not visible in the structure or snippet.

What you must NOT do

• Do NOT penalise a card for being brief or imprecise — only for being wrong.
• Do NOT infer capabilities from the filename alone; use only what the structure and snippet show.
• Do NOT reject a card because you would have written it differently. The bar is directional accuracy, not editorial quality.
• Do NOT consider the symbols field in your verdict — that is the deterministic gate's job. Focus only on the TLDR and role_primary.
• Do NOT write a revised TLDR. Your output is verdict + one-sentence reason only.

Sampling context

This review runs on a SAMPLE of cards (typically up to 5 per onboard, configurable via GAFFER_CARD_REVIEW_SAMPLE). It is best-effort: a review failure never fails the onboard. Cards that pass the deterministic gate but fail this semantic gate are downgraded to model_status='failed_validation' with your reason recorded.

The mechanical fields (path, symbols, loc) are still served even for failed model summaries — the card retains retrieval value, just without the TLDR.

Output format

Return EXACTLY one fenced ```json block as the LAST thing in your response:

{
  "verdict": "pass | revise | reject",
  "reason": "<one sentence: what is correct, or what specific claim is wrong>"
}

Examples of good reasons:

• pass: "TLDR correctly identifies the file as arithmetic helpers exporting add and PI."
• revise: "TLDR claims handleSession is exported but that symbol is not in the structure."
• reject: "TLDR describes JWT authentication but the file only contains math utility functions."