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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=false, so the safety profile is covered. The description usefully adds that it returns a list of records and is cursor-paginated, which the annotations do not convey. However, it offers no rate limits, result-size behavior, or cursor expiry details, and the pagination note names 'next_cursor' while the actual parameter is 'cursor', which could misdirect an agent.

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?

Purpose is front-loaded in the first clause, followed by pagination mechanics and field definitions in one dense paragraph. Every element is relevant, though the field list duplicates schema content and slightly dilutes focus.

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 compensates by listing the returned fields (month, measure_code, measure, value) and explaining pagination, which is what an agent needs to consume results. It is only missing guidance on choosing this dataset over others and any note on default/max row limits.

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?

Schema description coverage is 100%, so all seven parameters are already documented, including the measure_code value mapping. The description largely restates the schema's measure_code meaning and lists returned fields rather than adding filtering semantics, so the baseline of 3 applies.

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 (consumer price index) and its granularity (per month), so an agent can tell it apart from other dataset tools like house_prices or air_passengers_monthly. It does not explicitly contrast itself with any sibling, but no sibling covers the same data, so the lack of differentiation is a minor gap.

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 statement of when to use this tool versus alternatives, nor any prerequisite or exclusion. The only procedural guidance is 'pass next_cursor to get the next page,' which describes pagination mechanics rather than when this tool is the right choice.

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