datasets_chrome_extensions_search

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

No annotations are provided, so the description carries the burden. It states the tool 'searches stored Chrome Web Store item snapshots', implying a read-only, non-destructive operation. However, it does not explicitly confirm mutation behavior, response structure, or other behavioral traits (e.g., pagination, rate limits). The description adds some value but leaves 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 sentence followed by inline enum lists, which is moderately concise but somewhat verbose due to listing enums. Front-loading is decent with the main action stated first. Some space could be saved by omitting or moving enums to the schema, but it remains readable.

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 the tool has 16 parameters and no output schema, the description covers the search scope and all filter options. It does not describe the return format or pagination behavior, but sibling tools of similar structure likely follow a consistent pattern. The description is complete enough for a search tool with well-documented parameters.

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 schema already documents all 16 parameters. The description lists the enum values for item_type, sort, status, and manifest_version, which adds marginal value by providing inline sample values. However, it does not add meaning beyond what the schema provides 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 verb 'search' and the resource 'Chrome Web Store dataset' with the scope 'stored Chrome Web Store item snapshots'. It distinguishes from sibling dataset tools by focusing on Chrome extensions specifically, and lists enums for item_type, sort, status, and manifest_version, making the purpose very specific.

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 provides no guidance on when to use this tool versus other sibling tools like 'datasets_chrome_extensions_facets', 'datasets_chrome_extensions_item', etc. It does not mention alternatives, prerequisites, or context for choosing this search over other dataset search tools.

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