景气指数

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It only says '获取数据', implying a read operation, but does not describe data frequency, historical depth, source coverage, update behavior, or how multiple PMI series are returned. This leaves significant behavioral uncertainty.

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 single efficient sentence that front-loads the core resource and scope. It contains no filler, though it could be slightly more informative without losing conciseness.

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 a simple optional parameter and an output schema available, the description is minimally sufficient for basic invocation. However, ambiguity around the exact set of '景气指数' included and overlap with several sibling tools means an agent may not confidently select or interpret the tool without additional assumptions.

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 only parameter, limit, is fully described in the schema with '返回期数', so schema coverage is 100%. The tool description adds no additional parameter context, but the schema already provides sufficient meaning, meriting the baseline score of 3.

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 states a clear action ('获取') and a specific resource: China PMI data across manufacturing, Caixin, and non-manufacturing. However, it uses '等景气指数数据' which is vague, and it does not explicitly differentiate this from closely related siblings like macro_pmi or caixin_indices.

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 alternatives such as macro_pmi, global_pmi, caixin_indices, or caixin_list. Given the large number of overlapping macro siblings, the absence of any routing or exclusion criteria is a notable gap.

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