datasets_apps_reviews_search

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

No annotations are provided, so the description must fully disclose behavior. It mentions the search operation and that reviews are stored as one document per review, but does not discuss rate limits, authentication, data freshness, error states, or any side effects. This is insufficient for a search tool.

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?

Two sentences, front-loaded with the core purpose, followed by key details (store and sort enums). No extraneous information or repetition. Efficiently conveys the essential information.

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 8 parameters and no output schema, the description is very brief. It omits details about pagination behavior, what data fields are returned, how filters interact, and the scope of the dataset. This leaves significant gaps for an agent to understand the tool's full capability.

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 coverage is 100%, so the schema provides descriptions for all 8 parameters. The description adds minimal extra value by listing store and sort enums, but these are also present in the schema. Overall, it does not significantly enrich parameter understanding.

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 searches an app-reviews dataset with reviews from iOS and Google Play, using store and sort enums. It distinguishes itself from sibling tools like appstore_reviews and googleplay_reviews by explicitly mentioning both stores and the 'apps_reviews' dataset name.

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 (e.g., appstore_reviews, googleplay_reviews). There is no mention of prerequisites, when-not-to-use, or which scenarios benefit from this aggregated dataset over individual store tools.

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