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

No annotations exist, so the description carries the full burden and it delivers: validation happening before submission, the exact return payload of step 1 (summary, consent line, confirmation token), the requirement to show the summary to the person, that submission triggers an email with a click-through link that gates provider visibility, and the precise consent wording. This is unusually complete side-effect disclosure for a mutation tool.

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?

Well front-loaded, leading with the purpose and the two 'NOT' disclaimers before the procedural detail, and every sentence carries operational content. The consent sentence is effectively stated three times (open, close, and schema), which is mild redundancy rather than padding.

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?

There is no output schema, so the description must explain what comes back, and it does for both steps. Combined with the nested answers object and the two-step flow, it gives an agent everything needed to call correctly without guessing.

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 100%, so the baseline is 3, but the description adds real semantics beyond the schema: answers are keyed by field key sourced from enquiry_fields, consent is an assertion about the person's agreement, and confirmation is the token returned by step 1 rather than an arbitrary string. It does not document value types, but the schema handles that.

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?

States a specific verb (submits) and resource (an enquiry to human providers), and immediately rules out the two most likely misreadings: 'NOT a purchase, NOT a guaranteed quote'. This distinguishes it from enquiry_describe and enquiry_fields, which are clearly read-only discovery siblings.

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?

Gives an explicit two-step protocol with the exact conditions: step 1 with answers+consent=true to validate, then step 2 only if the person agrees, re-calling with the same answers plus the confirmation token. It also names where field keys come from (enquiry_fields) and states the precondition for consent.

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