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

With no annotations, the description carries the full burden and does so richly: it discloses per-call cost (0.011 USDC), a hard row cap of 5 with no pagination, that additional pages need separate requests, that an empty result is not a safety finding, that only an empty page was survey-validated, and that it carries no identity/freshness/completeness/certification guarantee. This is exactly the behavioral context an agent needs.

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 line is well front-loaded, but the body is a dense run-on of disclaimers with repetition ('No completeness or safety guarantee' overlaps with the earlier no-certification line, and 'Additional pages require separate requests' restates the pagination note). Information is useful but not tightly organized.

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?

Considering no output schema and no annotations, the description covers cost, pagination limits, ID sourcing, and validity caveats well enough for correct invocation. It could still be clearer about what a populated row contains given the acknowledged unverified semantics.

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?

The single nested 'arguments' object has 0% schema coverage, but the description compensates meaningfully by naming the key field (company_id), its source tool, and by pointing to get_cn_data_tool_schema for the exact argument shape. That is strong guidance for an otherwise opaque parameter.

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 Chinese sentence states a specific resource and what is returned: reasons, dates, and removal info for the business abnormality/operation-exception directory. It clearly names the domain, though it does not explicitly distinguish itself from near-neighbour siblings such as business_risk_count or administrative_penalty beyond the resource name.

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 concrete dependency: 'Use company_id from cn_data_v3_company_detail,' which tells the agent how to source the key input. However, it never states when to prefer this tool over related risk/penalty siblings or what conditions warrant calling it, so usage is only implied.

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