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

The description reveals the report is composed from live public web signals and includes a signed receipt and price per call. However, it does not disclose whether the tool is read-only, any rate limits, or authentication needs beyond payment. No annotations exist to compensate.

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 containing all key information (purpose, outputs, pricing, payment method). It is dense but not overly long; could be slightly improved with structuring but remains efficient.

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 lack of output schema, the description comprehensively lists output components (score, rating, recommendation, etc.). It provides context on pricing and payment. However, it lacks explicit differentiation from sibling analysis tools.

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?

Both parameters have schema descriptions that cover 100% of the parameters. The description adds examples (e.g., 'stripe.com') and lists focus options, but this is minor additional value beyond the schema. Baseline 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 clearly states the tool produces a structured analysis report with specific outputs (positioning, strengths, risks, etc.) for any URL, company, product, or subject. It distinguishes itself from siblings like agent_due_diligence by mentioning a fixed schema and live web signals.

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 for competitive, investment, or partnership analysis but does not explicitly state when to use this tool versus alternatives like agent_visibility_audit or agent_due_diligence. No 'when not to use' guidance is provided.

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