macro_china_cx_pmi_yearly

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so the description need not repeat these. It adds useful context: the date range (from 2012-01-20 to present) and return type (pandas.DataFrame). However, it does not disclose data granularity, columns, or update frequency beyond what is visible in the name and URL.

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 contains redundancy: the return phrase '中国年度财新 PMI 数据' appears twice, and the URL is long without explanation. It is not overly verbose, but the repetition and unformatted URL detract from 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 no output schema, the description must explain the returned DataFrame, but it only states 'pandas.DataFrame' without detailing columns, value meaning, or frequency (beyond the 'yearly' in the name). It also does not clarify the manufacturing vs. services ambiguity. The date range and source URL are helpful, but the overall picture is incomplete.

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?

There are zero parameters, so the baseline is 4. The description does not need to explain parameter semantics, and the input schema is fully empty. No additional parameter-related information is required.

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 China annual Caixin PMI data ('中国年度财新 PMI 数据') and provides a source URL. While it lacks an explicit verb like 'get' or 'fetch', the intent is unambiguous. It does not explicitly differentiate manufacturing from services PMI, but the tool name and URL hint at caixin manufacturing PMI.

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 provides no guidance on when to use this tool versus alternatives. It does not mention that this is for Caixin PMI rather than official NBS PMI, nor does it differentiate from similar tools like macro_china_cx_services_pmi_yearly or macro_china_pmi_yearly. No exclusions or alternative recommendations are given.

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