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source_coverage

Check if an evidence pack covers required source types and identify missing source categories to find gaps before relying on a memo.

Instructions

Diagnose whether an evidence pack covers the must_check source types for a category. Use after collecting evidence to find source gaps before relying on a memo. Pass evidence_json and optionally category; if category is omitted, the tool uses evidence_json.source_category. Returns matched and missing source types. It does not discover new sources, verify truth, or change validate_evidence results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOptional source requirement category slug; overrides evidence_json.source_category.
evidence_jsonYesParsed evidence pack to compare against source requirements.
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It clearly states the tool returns matched and missing source types, and explicitly lists limitations (does not discover new sources, verify truth, or change validate_evidence results).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three concise sentences with no wasted words. Front-loaded with purpose, then usage, then limitations. Perfect structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately covers return values (matched and missing source types). Inputs are well described. The tool is simple and the description is complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. However, description adds meaning by explaining the optional behavior of category (overrides evidence_json.source_category) and the purpose of evidence_json. This extra context justifies a 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'diagnose' and resource 'source coverage', clearly stating the tool's purpose. It distinguishes from siblings by explicitly listing what it does not do (discover new sources, verify truth, change validate_evidence results).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use: 'Use after collecting evidence to find source gaps before relying on a memo.' Also clarifies what it does not do, guiding agent away from misuse.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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