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

With no annotations present, the description carries the full burden and does disclose real behavioral traits: null means unknown, a summary/header is not the full record list, pagination needs separate requests, cost is 0.011 USDC per call, and there is no completeness/safety guarantee. It lacks any auth/permission detail and does not describe the actual return structure, keeping it below a 5.

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 and readable, but the body mixes Chinese and English and piles on boilerplate disclaimers (no completeness, safety, ownership, compliance certifications) that consume space without aiding selection or invocation.

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 tool with a nested, undocumented argument object and no output schema, the description gives useful behavioral caveats and routes the agent to the schema tool, but the absence of concrete argument fields and any return-shape hint leaves an agent reliant on an external call to invoke it correctly.

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 0% and the single parameter is an opaque 'arguments' object with additionalProperties=true and nesting, so the schema alone conveys nothing. The description partially compensates by naming company_id and deferring to get_cn_data_tool_schema, but it never enumerates or explains the real fields, so semantics remain thin.

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?

States a clear verb+resource: '查询网站技术、域名年龄与标准指标' (query website technology, domain age, and standard metrics), which is specific enough to know the domain. However, it does not differentiate itself from the many adjacent website siblings such as cn_data_v3_website_seo, cn_data_v3_website_modules, and cn_data_v3_website_record, leaving overlap 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?

Provides the prerequisite data source ('Use company_id from cn_data_v3_company_detail') and points to get_cn_data_tool_schema for argument shape, plus notes that additional pages require separate requests. It stops short of saying when to pick this over the other website_* tools, 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.