index_price_cflp

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds a source URL and return type (pandas DataFrame), but does not disclose any potential network dependencies, update frequency, or data structure quirks. This is acceptable given the strong annotation coverage.

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 compact and follows a standard docstring format, including a URL and parameter documentation. Every line serves a purpose, though the format is slightly verbose with separate type and return lines. Overall it is well-structured and easily parseable.

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 single-parameter data retrieval tool, the description covers the essential information: source, parameter values, and return type. However, without an output schema, it does not specify the DataFrame's columns or whether historical time series vs. latest values are returned. This leaves some ambiguity for an agent needing exact 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?

The schema only provides a default value with no enum or description, so the description carries the full burden. It explicitly lists all four allowed symbol values (周指数, 月指数, 季度指数, 年度指数) and labels the parameter type as string. This fully compensates for the schema gap.

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 clearly identifies this as a tool for retrieving China highway logistics freight price index data, with a source URL and return type. The name and description together distinguish it from sibling index_volume_cflp, which targets volume data. The parameter choices (weekly/monthly/quarterly/yearly) further specify the resource granularity.

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 explicit guidance is provided on when to choose this tool over alternatives. While the parameter choices indicate possible frequency selections, there is no mention of use cases or exclusions, such as when index_volume_cflp would be more appropriate.

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