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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, non-mutating read. The description adds useful context beyond those flags by emphasizing 'public store listing' and noting that the description/release notes are truncated. No behavior contradicts the annotations.

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, information-dense sentence with no filler. It front-loads the action and scope, lists the returned fields compactly, and ends with the practical use case. Every part contributes to selecting the correct tool.

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 rich input schema, explicit annotations, and presence of an output schema, the description completes what is needed: it specifies the intended scope, field set, and use case. The agent can call the tool correctly with just storeId and store, and knows it gets public listing data even for untracked apps. No critical information is missing.

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 input schema already describes every parameter in full, including enums, length limits, and examples. The description reinforces that storeId is the store-native identifier, but does not materially add semantics beyond what the schema provides. With 100% schema coverage, the baseline score of 3 is appropriate.

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 opens with a specific verb and resource: 'Fetch the public store listing for any app by its store-native id.' It clearly states what data is returned (title, developer, rating, price, version, release dates, genres, truncated description), and distinguishes itself by covering 'any app' rather than only apps tracked in Appskyline, which sets it apart from sibling tools.

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 gives clear usage context: use this tool when you need a store listing for any app via its store-native id, including competitor apps. The phrase 'not just apps tracked in Appskyline' implicitly contrasts with app-specific tools, and 'useful for competitor research' signals the intended scenario. However, it does not explicitly name sibling alternatives or state when not to use this tool.

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