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

No annotations are provided, so the description must shoulder the burden of behavioral disclosure. It only states the action without mentioning safety (read-only), return format, limitations, or pagination. For a tool without output schema, this is insufficient.

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?

The description is a single sentence that conveys the core purpose and filter capability. It is front-loaded and without fluff, though it could be slightly expanded to include return type without harming conciseness.

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?

Given the lack of output schema and annotations, the description fails to provide critical context such as return structure (list of products) or behavioral traits. An agent may not know what to expect from the response.

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 100%—the 'category' parameter is documented with a list of values. The description's note on filtering adds no new meaning beyond the schema, meeting the baseline.

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 clearly states it retrieves the product catalog of a specific store, with filtering by category. The verb '获取' (get) and resource '产品目录' (product catalog) are specific, and it distinguishes from siblings like 'get_product_detail' which handles individual products.

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 implies usage for catalog retrieval and mentions filtering, but lacks explicit guidance on when to use this tool versus siblings like 'get_product_detail' or 'recommend_product'. No when-not or alternative context is provided.

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