search_datasets

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

No annotations are provided, so the description carries full burden. It discloses the fuzzy-search behavior, output fields (id, name, description, update_frequency, is_curated), and that results are ranked. It does not mention rate limits or authentication but given the read-only nature, the transparency is adequate.

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 structured with paragraphs and examples, but the list of seven datasets could be moved to a separate reference. It is informative but slightly verbose, earning a score of 3.

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 an output schema implied (DatasetSummary fields mentioned), the description covers return values and ranking. It lacks details on pagination or error handling, but given the tool's simplicity, this 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 input schema has 100% description coverage, so the schema already documents both parameters. The description adds context about the dataset catalog content but does not significantly enhance parameter meaning beyond what the schema provides.

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 states it is a fuzzy-search tool for the curated WGEA dataset catalog, specifying the verb and resource. It lists the seven curated datasets, distinguishing it from siblings like list_curated, which likely lists all datasets without search.

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?

Examples illustrate typical use cases (e.g., 'parental leave', 'women in management'), and results are described as ranked by relevance. While it does not explicitly state when not to use it, the context with sibling tools implies that list_curated is for browsing all datasets and describe_dataset for details on a specific one.

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