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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that results include per-keyword roundup coverage (counts and whether a competitor or the user's app is featured), which is useful context. However, it does not disclose pagination, result ordering, or any limitations, so it adds moderate value beyond 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, concise sentence that front-loads the main purpose (search keywords) and then adds the specific data points included. Every word earns its place, with no redundancy or filler.

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 no parameters, no output schema, and annotations covering safety, the description is mostly sufficient. However, the phrase 'whether any feature you' is awkward and ambiguous – likely meaning 'whether any feature your app' – which could confuse an agent. It also does not clarify if all keywords are returned or if there is a limit. These small gaps keep it from being fully 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?

There are zero parameters, so the schema trivially has 100% coverage. The description adds nothing about parameters because there are none, and the baseline for 0 parameters is 4. No additional parameter semantics are needed.

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 the tool searches tracked keywords for the app and adds specific details about roundup coverage. It is distinct from sibling list tools (list_competitors, list_creators, list_apps) by focusing on keywords, making its purpose unambiguous.

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 no guidance on when to use this tool versus alternatives, nor any conditions or exclusions. It does not mention scenarios where a different list tool would be more appropriate, leaving the agent to infer from the name alone.

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