noaa_datasets

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

Annotations already declare readOnlyHint true, idempotentHint true, and destructiveHint false, so the safe read-only nature is covered. The description adds the cataloging behavior and sample dataset categories, but does not mention response shape, pagination, or possible large result sets.

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?

A single, front-loaded sentence with concrete examples and no filler. Every word contributes to understanding the tool's purpose.

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 parameterless catalog-listing tool with annotations covering safety and idempotency, the description is complete. No output schema exists, but the description makes the result type obvious: a list of available NOAA climate datasets.

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 and schema coverage is 100%, so there is no parameter burden for the description to carry. The description adequately explains what will be listed.

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 specific verb ('List'), a clear resource ('available NOAA climate datasets'), and gives concrete examples (GHCND daily, GSOM monthly, GSOY annual, normals). This distinguishes it from sibling tools like noaa_stations, noaa_locations, and noaa_climate_data.

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 implies a discovery use case for available NOAA datasets, but it does not explicitly say when to use this tool versus noaa_climate_data or other NOAA siblings. There is no guidance on prerequisites or follow-up steps.

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