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

Without annotations, the description carries the full burden. It describes the output contents comprehensively but does not state that the tool is read-only, whether authentication is needed, or any potential side effects. For a no-parameter tool, this is adequate but not exemplary.

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 sentence that front-loads the main purpose ('build-versus-buy comparison') and then lists covered aspects. While it is somewhat long, it is well-structured and every phrase adds value.

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 output schema, the description sufficiently explains what the tool returns. No parameters means no missing parameter info. The tool is simple, and the description covers its essential functional scope. It could mention authentication or side effects, but overall it is complete enough for a read-like operation.

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?

With zero parameters, schema coverage is trivially 100%. The description adds value by detailing the output, which is the only relevant semantic information beyond the empty schema. Baseline 4 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 returns a 'build-versus-buy comparison' and lists specific topics covered (retries, idempotency, pricing). This distinguishes it from siblings like 'evaluate_leadproof_fit' and 'get_leadproof_checkout', which have different purposes.

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?

No guidance is provided on when to use this tool versus alternatives such as 'evaluate_leadproof_fit' or 'get_leadproof_evidence'. The description implies a decision-making context but does not explicitly state prerequisites, when to avoid, or when another sibling is more appropriate.

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