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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does so thoroughly. It explains the two-step validation/submission sequence, the confirmation token, the requirement to show the person the summary and consent line, the email with a click link, and the exact consent wording. This is exceptional transparency.

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 long but every sentence earns its place due to the consent and two-step complexity. It is clearly structured with 'Step 1' and 'Step 2', includes the exact consent text to avoid ambiguity, and front-loads the core purpose and exclusions.

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?

Despite having no annotations and no output schema, the description provides enough context for an agent to execute the tool correctly: inputs, step outputs, side effects, success criteria, and the consent requirement. Nothing critical is missing for a correct invocation.

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?

Although schema coverage is 100%, the description adds significant meaning beyond the schema: answers must be keyed by field key from enquiry_fields, consent must only be true after the person agrees to the specific consent line, and confirmation is the token from step 1 after approval. This directly ties each parameter to the workflow.

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 states a specific action, 'Submits an enquiry to Gearbox Repair Quotes', and immediately clarifies what the tool is not ('NOT a purchase, NOT a guaranteed quote'). This clearly differentiates it from the sibling tools enquiry_describe and enquiry_fields by its distinct verb and resource.

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 two-step workflow is explicitly described, including exactly when the second call should be made ('only if the person agrees'). It also provides exclusion criteria ('NOT a purchase, NOT a guaranteed quote'). However, it does not explicitly state when to prefer this tool over enquiry_describe or enquiry_fields, though it references enquiry_fields for field keys.

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