macro_china_agricultural_product

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the return type (pandas.DataFrame) and a source URL, which provides some context beyond the annotations, but it does not describe data granularity, potential missing values, or other behavioral traits.

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 short, but the ':return' line merely repeats the title, which is redundant. The URL is useful, but the structure resembles a raw docstring rather than a polished description, and the redundancy costs a point.

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?

There is no output schema, so the description should explain the return value in more detail. It only provides the index name and the DataFrame type, but does not describe columns, time range, or whether it is historical or current data. The safe-read annotations help, but the overall context is incomplete for an agent to fully understand the output.

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 tool has zero parameters, and the input schema is empty with 100% coverage. Since there are no parameters to explain, the description does not need to add parameter semantics, and the baseline of 4 for a zero-param tool applies.

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 the resource as the agricultural product wholesale price total index, and the included URL provides a unique data series identifier. However, it lacks an explicit verb and does not differentiate from sibling tools like macro_china_agricultural_index, so it falls short of a 5.

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?

There is no guidance on when to use this tool versus alternatives. It neither states the intended use case nor mentions any exclusions or alternative tools, leaving the agent to infer the appropriate context.

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