car_sale_rank_gasgoo

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

Annotations already declare readOnly, idempotent, and non-destructive behavior, so the bar is lower. The description adds a return type (DataFrame) and source URL, but doesn't disclose potential behaviors like data granularity, pagination, or permissions. This is minimal but non-contradictory.

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 title, URL, and param/return docs. It is well-structured and reasonably concise, though the URL line is not essential for invoking the tool.

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 2-param retrieval tool without an output schema, the description gives the source, parameter choices, and return type. It lacks information about output columns or data coverage, but is adequate for basic use. The absence of alternative guidance slightly reduces completeness.

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%, so the description's param docs carry the burden. It specifies symbol as a choice of three Chinese labels and date as year/month, providing meaning beyond bare strings. It doesn't explicitly state the YYYYMM format, but the default suggests it.

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 Gasgoo automotive sales data with a ranking URL, and parametrizes by enterprise, brand, or model. It lacks an explicit verb like 'retrieve' but is reasonably clear about the resource. It differentiates from siblings by naming Gasgoo and the specific ranking categories.

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 provided on when to use this tool versus the numerous car_market_* siblings from CPCA. The description only gives a URL and parameters, without exclusions or alternative tool mentions.

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