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

No annotations are provided, so the description carries the full burden. It discloses one non-obvious trait (JAN/model numbers are accepted as keyword), and pagination/limits are covered by the schema, but it says nothing about read-only nature, result contents, or rate limits.

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?

Two short purpose/usage sentences plus one compact input example, with the core action front-loaded. The example earns its place, though it is slightly redundant with the schema parameter examples.

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?

For a 4-parameter, no-required, fully documented search tool with no output schema, the description covers purpose, a key usage tip, and a concrete invocation example. It stops short of explaining result shape or when to escalate to the detail tool.

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 coverage is 100%, so the baseline is 3, but the description adds genuine meaning: keyword accepts JAN and model numbers directly, and the example shows keyword/category/limit combined in practice. It goes beyond restating the schema.

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 names a specific verb and resource: searching the Consumer Affairs Agency recall-info site by keyword + category. It contrasts with the sibling get_recall_detail implicitly, since this is a search/list operation, but never names the sibling to remove ambiguity.

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?

It gives a concrete usage rule (JAN / model numbers can be passed straight in as keyword) and a worked input example, which shows intended usage. However, it never states when to prefer this over get_recall_detail or any exclusions/limitations.

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