macro_china_cpi_monthly

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered elsewhere. The description adds genuine value by disclosing the historical coverage window (since 1996-02-01) and the upstream source, but says nothing about update cadence, lag, or data freshness.

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 content is short and front-loads the resource definition, coverage window, and source URL. The trailing ':return:' and ':rtype: pandas.DataFrame' docstring fragments are mild clutter since no output schema exists, but they do communicate the return type efficiently.

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 zero-parameter, read-only macro series whose annotations already carry the safety profile, the description supplies the two things an agent actually needs: what the series is and how far back it goes. No output schema exists, so noting the pandas.DataFrame return is a reasonable substitute.

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 takes zero parameters, so the baseline is 4. The description correctly implies no inputs are required; nothing further is needed on this dimension.

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 names a specific resource and frequency ('中国月度 CPI 数据' – China monthly CPI data) with a concrete coverage window (19960201–present), which distinguishes it from macro_china_cpi_yearly by frequency. However it never explicitly states the monthly/yearly relationship to those siblings, so the differentiation must be inferred from the name alone.

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 when-to-use, when-not-to-use, or alternative-selection guidance. The agent gets no signal about preferring this over macro_china_cpi_yearly or macro_china_cpi, beyond guessing from the frequency word embedded in the resource name.

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