car_market_total_cpca

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

Annotations already cover safety (readOnly, idempotent, non-destructive). The description adds the source URL and return type, but doesn't disclose data granularity or other behavioral details. The parameter choices are useful but not behavioral.

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 compact docstring with clear sections: overview, URL, params, return. Every line serves a purpose, and it is well-structured without superfluous 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?

The tool is simple with two optional parameters, and annotations cover safety. However, no output schema exists, and the description does not describe the DataFrame's columns, time frequency, or any other limitations, leaving the agent uncertain about the returned data structure.

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%, so the description fully compensates by listing explicit choices for both parameters (symbol: 狭义/广义乘用车; indicator: 产量/批发/零售/出口). This is essential and complete.

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 identifies the resource (CPCA overall market statistics) and implies the action of retrieving via the `:return:` clause. The phrase '总体市场' distinguishes it from sibling car market tools, though it lacks an explicit verb like 'fetch'.

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?

No guidance is given on when to use this tool versus alternatives. It only describes itself and does not mention exclusions or compare with sibling car_market_* tools.

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