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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It only states the tool returns results but does not disclose side effects, idempotency, rate limits, or whether it triggers any external actions (e.g., creating records). This is insufficient for a tool returning multiple actionable items.

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, well-formed sentence of 25 words. It is front-loaded with the key action and output, with no extraneous information.

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 tool has 4 parameters, no output schema, and returns multiple items (ROI, plan, checkout URL), the description does not provide enough context about how inputs affect the evaluation or what the output format looks like. The agent may not know how to interpret the results.

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 description coverage is low (25%). The description does not compensate by explaining the meaning of the three undocumented parameters (monthly_leads, workflow_problem, average_customer_value). It mentions ROI estimate and plan but does not connect them to inputs.

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 'Evaluate' and clearly states the object: whether a lead automation workflow benefits from LeadProof. It enumerates the returned items: integration path, ROI estimate, plan, checkout URL, which distinguishes it from siblings like audit_lead_workflow or get_leadproof_checkout.

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 initial evaluation but does not explicitly state when to use this tool versus siblings (e.g., for comparing with in-house or for a trial). 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.