compare_competitors

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

No annotations provided, so the description carries full burden. It states it runs audit_ai_visibility in parallel and returns ranked comparison, but does not mention potential side effects, rate limits, or whether it is read-only. Adequate but could be more explicit.

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 two sentences with an embedded bullet list of outputs. Highly efficient, no redundancy, and front-loaded with the core purpose.

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 tool that runs multiple operations, it lacks mention of performance implications or error handling. However, since an output schema exists, the return values are sufficiently described. Nearly 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?

Schema coverage is 100%, so parameters are already documented. The description adds context by explaining that domains are used in a parallel audit, which is helpful but not essential beyond 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 states it performs a side-by-side AI-visibility audit comparing your domain against competitors. It distinguishes from siblings (e.g., audit_ai_visibility for single domain) by explicitly naming the parallel execution and comparison output.

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 implies usage when a comparative analysis is needed, but does not explicitly exclude use cases like single-domain audits or specify prerequisites. The differentiation from siblings is clear enough.

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