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

Annotations already declare read-only, idempotent, and open-world behavior. The description adds meaningful context beyond that: it is free, matching is conservative, and crucially, absence of a match is not proof of safety. It doesn't describe what a positive match returns, but the added caveat is valuable.

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

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

A single, front-loaded sentence with no wasted words. The 'Free:' prefix and the key caveat are both delivered efficiently.

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

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

Annotations cover safety profile, but with no output schema and zero parameter descriptions, the description should do more. It doesn't say what a successful match returns (e.g., a recall notice identifier or details) or explain the optional manufacturer field.

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

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

Schema description coverage is 0% for all three parameters. The description only clarifies that 'model' should be exact, leaving product_name and manufacturer unexplained. It does not compensate for the schema gap.

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

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

The description states a specific verb (match) and resource (published CPSC recall notice) with the constraint of an exact model. It is clear what the tool does, but it doesn't distinguish itself from the sibling match_product_recall, which sounds very similar.

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

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

The description offers only an implicit cue ('Free' suggests a low-cost first check) and a caveat about absence. There is no explicit guidance on when to use this tool versus match_product_recall or build_product_recall_evidence, nor any prerequisites or exclusions.

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