Google Play Store app data

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

No annotations are present, so the description must carry the behavioral transparency burden. It only states that the data is 'structured' and lists some fields, but does not disclose how the tool behaves—whether it scrapes the page, requires special access, can fail on invalid URLs, or any limitations. This is a notable gap for a web data extraction 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?

The description is a single, compact sentence that communicates the core domain and expected data fields without unnecessary words. It is front-loaded with the resource name and immediately informs the user of key content, earning full marks for conciseness.

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 simple one-parameter schema and lack of output schema, the description partially compensates by listing expected data fields (rating, downloads, reviews, description). However, it omits behavioral context such as how to invoke it, what constitutes a valid URL, and any edge cases or limitations. It is minimally viable but has clear 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?

The schema has 100% description coverage: the single parameter `url` is described as 'Google Play Store app URL'. The tool description adds no additional parameter-level semantics, staying at the baseline. The parenthetical fields describe output rather than input, so parameter understanding relies entirely on the schema.

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 identifies the resource (Google Play app data) and highlights key data fields (rating, downloads, reviews, description). It lacks an explicit verb like 'fetches' or 'scrapes', but the context and sibling names make the retrieval purpose clear. It distinguishes itself from siblings like web_data_apple_app_store by naming Google Play specifically.

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 is provided about when to use this tool versus alternatives such as web_data_apple_app_store or general scraping tools. The only contextual signal is the tool name itself, which implies Google Play URLs but does not explicitly state selection criteria or exclusions.

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