datasets_chrome_extensions_facets

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It states returns 'aggregation buckets' but does not clarify read-only nature, authentication requirements, rate limits, or parameter interaction effects. The enum note linking to search endpoint provides some context but lacks depth.

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 consists of two concise sentences. The first sentence front-loads the purpose and output, while the second efficiently lists enums. Every word serves a purpose; no redundancy or fluff.

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?

Despite the tool's complexity (15 parameters, no output schema), the description fails to explain the return format of buckets, how filters interact with faceting, or whether the tool supports pagination. Critical details for correct invocation are missing, making it incomplete for an autonomous agent.

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 the baseline is 3. The description adds minimal semantic value—only listing some enums beyond the schema's descriptions. For example, the schema already defines 'sort' enum values; the description merely notes alignment with search endpoint. No extra meaning for most parameters.

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 the action ('facet'), the resource ('Chrome Web Store dataset'), and the output ('aggregation buckets'). The explicit listing of facet enum values and item type enum further clarifies the tool's scope, distinguishing it from sibling facet tools for other datasets.

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 usage for obtaining aggregation buckets but does not provide explicit when-to-use or when-not-to-use guidance. It fails to differentiate from sibling tools like search or item retrieval, nor does it suggest alternatives for specific needs. The mention of enum matching with the search endpoint is helpful but insufficient.

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