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

With no annotations provided, the description carries the full burden and does: it discloses validation behavior, the exact return contents of step 1 (summary, consent line, confirmation token), that submission triggers an email requiring a click before providers see anything, and the literal consent statement. Mutation semantics, side effects and the double-opt-in are all explicit.

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?

Front-loaded with the key differentiator ('NOT a purchase') and organized as Step 1/Step 2, which is the right structure for a two-call tool. It is dense but every clause is load-bearing; the verbatim consent quote adds length, though it is arguably necessary for the agent to display it.

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?

For a nested-parameter, no-output-schema mutation tool, the description compensates fully: it names the return payload of each call, the downstream email/click flow, and the consent text. Nothing an agent needs to invoke either step correctly is missing.

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 coverage is 100%, so baseline is 3, but the description adds meaning beyond the schema: answers are keyed by field key obtained from enquiry_fields, consent must be true only after agreement, and confirmation is the step-1 token used on the second call. That maps each parameter to the two-step workflow rather than just restating it.

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 (submit) and resource (enquiry to human providers) and immediately fences off the wrong mental model with 'NOT a purchase, NOT a guaranteed quote'. An agent can distinguish this from the dataset_* siblings and the enquiry_describe/enquiry_fields helpers without opening any schema.

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 explicit when-to-call guidance for both steps: step 1 with answers+consent, step 2 only when the person has agreed and with the confirmation token. It also states what must be shown to the person between steps, so the agent knows the precondition for the second call.

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