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

Annotations already indicate destructive and idempotent behavior, so the description's mention of consent confirms an important compliance requirement. However, the description adds minimal behavioral context beyond what annotations provide—it does not explain that this tool contacts the dealer, the role of the idempotency key, or the validation via dry_run. No contradiction with annotations.

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, front-loaded, and free of unnecessary words. However, it is so concise that it omits important context; a slightly longer description that includes usage guidelines would be more helpful without losing conciseness.

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's complexity (13 parameters, 7 required, output schema exists), the description is too brief. It does not cover the consent flow, return value, idempotency behavior, or how this tool differs from sibling inquiry tools. The annotations and schema fill many gaps, but the description should provide a higher-level context for the AI agent.

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 high (85%), so the baseline is 3. The description does not add any parameter-specific meaning beyond what the schema already provides. For example, it does not clarify the purpose of 'idempotency_key', 'dry_run', or the relationship between 'email' and 'phone' requirements.

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 action ('request a test drive') and the resource ('this listing'), making the purpose immediately understandable. However, it does not differentiate this tool from sibling tools like 'submit_vehicle_inquiry' or 'request_trade_in_appraisal', which could cause confusion for an AI agent deciding which tool to use.

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 mentions a prerequisite ('after explicit consent and confirmation'), but provides no guidance on when to use this tool versus alternatives. It does not specify when not to use it, nor does it reference any sibling tools that might be more appropriate for general inquiries or other actions.

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