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

With no annotations, the description carries the full burden and does meaningfully discharge it: it discloses cost (0.011 USDC per call), return shape (one array), that counts are not underlying records, that completeness/freshness/ownership are not guaranteed, and that extra pages cost separate requests. It omits auth requirements and what the statuses actually are, but the disclosure is well above boilerplate.

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 purpose is front-loaded in one clean sentence, but it is followed by a long run of generic disclaimers that partly repeat themselves ('not guaranteed complete history' vs. 'No completeness or safety guarantee'). Several sentences are shared boilerplate rather than tool-specific content.

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 no annotations, no output schema, and a nested untyped argument object, the description supplies the essentials (cost, prereq, return shape, caveats) but leaves the actual request payload and the meaning of the counted statuses unspecified. An agent can call it, but only after a second schema lookup.

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% on an opaque 'arguments' object, so the description would need to compensate. It does point the agent to get_cn_data_tool_schema('v3_trademark_status_count') and names company_id as a required input, but gives no format, allowed values, or optional filters, so half the burden remains.

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 opening line '查询各商标状态数量' states a specific verb (count) and resource (trademark statuses), which is enough to distinguish it from siblings like cn_data_v3_trademark_type_count or cn_data_v3_trademark_apply_trend. It is clear but does not explicitly contrast itself with those nearest siblings, and 'status' is left undefined.

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 one real prerequisite — 'Use company_id from cn_data_v3_company_detail' — plus the pagination rule that additional pages need separate requests. However, it never says when to choose this over cn_data_v3_trademark_type_count, cn_data_v3_trademark_register_trend, or the other trademark siblings, leaving selection to inference.

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