car_market_country_cpca

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

Annotations already cover the safe read-only, idempotent nature. The description adds the return type (pandas.DataFrame) and source URL, which is helpful context, but does not explain data contents or access constraints. With good annotations, this level is acceptable but not rich.

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 concise and front-loaded with the title and URL, but the :return line is redundant and contains an apparent copy-paste error ('车型大类' instead of '国别细分市场'), which harms clarity and structure.

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 returns a DataFrame, but the description does not adequately specify what data is included, especially given there is no output schema. The vague and erroneous return description leaves an agent without enough information to understand the tool's output fully.

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 input schema has zero parameters, so there is no parameter semantics to clarify. The baseline for 0 params is 4, and the description does not introduce any parameter-related confusion.

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 tool as providing CPCA country-segment market statistics with a source URL, distinguishing it from sibling car_market_* tools by the explicit '国别' (country). However, the :return line mistakenly mentions '车型大类' (car model category), which introduces some 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?

No guidance is given on when to use this tool versus alternatives like car_market_segment_cpca or car_market_fuel_cpca. The intended usage is only implied by the name and title, not explicitly stated.

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