datasets_chrome_extensions_facets

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

There are no annotations provided, so the description carries the full behavioral burden. It does disclose that the tool 'Returns aggregation buckets' and mentions enum compatibility with the search endpoint, which is useful. However, it does not mention whether the operation is read-only, any authentication requirements, rate limits, or the structure of the response beyond 'aggregation buckets'. This is minimal but not misleading.

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 concise at just two sentences, front-loading the core purpose and return type. The enum listings are somewhat redundant with the schema but are compact and easy to scan. It would earn a 5 if it avoided repeating schema information, but as written it is still well-structured and free of 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?

Given 15 parameters and no output schema, the description gives enough context to understand what the tool does but not enough to fully anticipate the response format or how filters interact with faceting. It does not explain what 'aggregation buckets' contain structurally or whether multiple facets can be combined. For a simple faceting endpoint this is adequate but leaves gaps.

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 the list of facet enum values and notes that search sort/status/manifest-version enums match the search endpoint, which slightly enriches the schema. However, much of this duplicates the schema's own property descriptions, so it does not significantly exceed the baseline.

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 tool's purpose: 'Facet the Chrome Web Store dataset. Returns aggregation buckets.' This is a specific verb and resource, and it is distinguishable from sibling tools like datasets_chrome_extensions_search by the explicit mention of faceting and aggregation. However, it does not explicitly name or contrast itself with siblings, so it falls just short of a 5.

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 the tool is for obtaining aggregation buckets on the Chrome Web Store dataset, and the note that 'Search sort, status and manifest-version enums match the search endpoint' hints at when this tool is relevant. But there is no explicit guidance on when to use this over the search tool, no exclusions, and no alternative suggestions. Usage is implied rather than stated.

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