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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds behavioral context by explaining that it follows the developer-declared privacy-policy link, analyzes that page, and returns specific outputs. It explicitly says 'Read-only' and emphasizes no repo/developer-account access, reinforcing the non-invasive nature beyond 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 concise and front-loaded: three sentences deliver the tool's purpose, input requirements, behavior, and outputs. Every sentence earns its place with no filler or repetition.

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 no output schema, the description lists four concrete return categories (detected data processing, compliance recommendations, EU AI Act applicability, suggestedAnswers) and specifies supported stores and required input. It lacks edge-case details like privacy-policy link absence, but for a one-parameter tool this is sufficiently complete.

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 covers the url parameter 100%, including format and examples. The description only restates that it is a public listing URL, adding no meaning beyond the schema. Baseline 3 is appropriate because the schema does the heavy lifting.

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 uses a specific verb ('check') and resource ('app-store listing compliance'), and clearly specifies the input (public App Store or Google Play listing URL). It distinguishes itself from siblings by explaining it follows the privacy-policy link and returns compliance recommendations, EU AI Act applicability, and suggestedAnswers.

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 provides clear context: use when you have a public app-store listing URL and no repo or developer-account access. It stops short of explicitly naming alternatives or stating when not to use it, but the scope is well-defined and implies suitable use cases.

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