fetch_data

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

With no annotations provided, the description carries full burden but only states it fetches from a 'public API', missing key behavioral details such as authentication requirements, rate limits, error handling, or whether it's read-only. It doesn't disclose if this is a safe operation or has side effects, leaving significant gaps.

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 a single, efficient sentence that gets straight to the point without unnecessary words. However, it's slightly under-specified given the tool's complexity, as it could benefit from a bit more detail to be fully informative.

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?

Given no annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't cover parameter meanings, behavioral traits, or return values, making it inadequate for a tool with 3 parameters and public API interactions. More context is needed for effective use.

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 0%, so the description must compensate but only mentions 'dataset name query', which loosely maps to 'dataset_name'. It doesn't explain the purpose of 'limit' and 'offset' parameters, their constraints, or how they affect the fetch operation, failing to add meaningful semantics beyond the bare 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 states the action ('fetch data') and target ('from public API'), but is vague about what 'data' means and doesn't distinguish from siblings like 'datastore_search' or 'package_search'. It mentions 'dataset name query' which provides some context but lacks specificity about the type of data or API.

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 on when to use this tool versus alternatives like 'datastore_search' or 'package_search' is provided. The description implies usage for fetching data with a dataset name, but doesn't specify prerequisites, exclusions, or comparative contexts with sibling tools.

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