macro_china_cpi_monthly

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is covered. The description adds the data range and return type (pandas.DataFrame), which is useful context beyond the annotations, but it does not disclose additional behavioral traits such as pagination, column details, or update frequency.

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 concise, containing the essential information in the first line. The URL and return docstring add useful references without excessive verbosity, though the format is somewhat unstructured and mixes prose with docstring elements.

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 simple, read-only tool with no parameters or output schema, the description provides the data range, source URL, and return type, which is adequate for an agent to understand what the tool returns and its coverage. It does not specify column names or exact data structure, but for this simple use case, the information is sufficient.

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 schema coverage is 100%, so the description is not required to explain parameters. The description includes return type and data range, which compensates for the lack of an output schema and adds value beyond the empty input schema.

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 tool as providing China monthly CPI data with an explicit date range (19960201-present). This distinguishes it from the yearly CPI sibling tools, though it lacks an explicit verb like 'retrieve' or 'get', making it slightly less clear as an action.

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 given on when to use this tool versus alternatives such as macro_china_cpi_yearly or macro_usa_cpi_monthly. The sibling tools are not referenced, and the description provides no context for selection or exclusion.

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