app_store_apps

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

With no annotations provided, the description carries the full behavioral disclosure burden and does so well: it names the public API source, states no setup is needed, explains that results are in App Store relevance order, and caps the limit at 50. It does not mention rate limits, data freshness, or error behavior, but for a read-only search tool the disclosed behavior is reasonably complete.

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 organized with clear Args and Returns sections and keeps each parameter explanation short. The opening sentence is slightly awkward and could be tightened, but there is no redundant filler and the most important details are front-loaded.

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?

For a simple three-parameter search tool with no output schema and no annotations, the description is quite complete: it documents all parameters, explains the return fields, and notes ordering and the rating-count proxy. It could add edge-case behavior like empty results or country-specific quirks, but nothing essential is missing for calling it correctly.

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 0%, so the description fully compensates by documenting every parameter: query with examples, country with ISO code format and default, and limit with its 50 cap. This adds meaningful semantics beyond the raw JSON schema types and defaults.

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 tool as returning existing iPhone/iPad apps matching a query from Apple's public iTunes Search API. It conveys the search behavior and domain, though it lacks a crisp verb like 'search' and does not explicitly differentiate from sibling tools. The odd phrasing 'who already serves this need' slightly weakens clarity but does not obscure the purpose.

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?

It explains the use case: finding apps that already serve a need and using rating count as a proxy for user base, plus 'No setup needed' signals ease of use. It does not provide explicit when-not-to-use guidance or name alternative tools, but the sibling list contains no direct app-store alternative, so the implied context is sufficient.

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