macro_china_qyspjg

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds the return type (pandas.DataFrame) and source URL, but does not disclose other behavioral traits like rate limits, data freshness, or potential errors. It is consistent with annotations.

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 extremely brief and to the point, containing only the data name, source URL, and return type. It avoids unnecessary words, though the structure is more like a fragment than a coherent sentence. Still, every piece of information earns its place.

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?

With no output schema, the description should explain the return value. It does specify that a DataFrame is returned and names the index, but it does not describe columns, date ranges, or data granularity. This is adequate for a simple no-parameter tool but lacks depth for a richer understanding.

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?

This tool has zero parameters, so the description does not need to explain parameter details. The baseline score of 4 applies because there are no parameter semantics to clarify.

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 states the tool provides China's enterprise commodity price index data from Eastmoney, identifying the specific resource and source URL. However, it lacks an explicit action verb like 'get' or 'fetch', and does not explicitly differentiate from similar sibling tools such as macro_china_commodity_price_index.

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?

The description gives no guidance on when to use this tool versus other economic data tools. It only states what data is returned, without any context on suitable scenarios or exclusions.

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