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

With no annotations the description carries the full burden and does disclose substantive traits: per-call cost (0.011 USDC), that null values mean unknown, that a summary/header is not the underlying record list, and that additional pages require separate requests. This is meaningful behavioral context beyond a bare purpose.

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 most sentences carry information (cost, null semantics, arg source, pagination). But the legal boilerplate repeats itself ('No ... certification' followed later by 'No completeness or safety guarantee'), adding redundant bulk that dilutes the actionable parts.

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 simple count tool with one argument and no output schema, the description covers cost, null semantics, argument sourcing, pagination, and expectation-setting disclaimers. It is largely sufficient, with the only real gap being the undisclosed internal shape of the arguments object.

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% and the single parameter is an opaque nested 'arguments' object, so the schema provides essentially nothing. The description partially compensates by naming company_id as the driving input and routing to get_cn_data_tool_schema for the full argument shape, but the actual parameter structure is never documented here.

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 clause '查询企业海关信息数量' (query enterprise customs information count) states a specific verb+resource with the 'count' scope, letting an agent distinguish it from list/header siblings. However, the Chinese-only purpose is followed by a wall of disclaimers that dilute focus rather than sharpen it.

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 tells the agent where to source the key argument ('Use company_id from cn_data_v3_company_detail') and that arguments must match get_cn_data_tool_schema("v3_customs_count"). It does not state when to prefer this count tool over related list/detail 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.