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

No annotations exist, so the description carries the full burden and does so: it discloses the validation-then-submit flow, that step 1 returns a summary/consent line/token, that step 2 actually submits, and that an email confirmation gates provider visibility. The verbatim consent text is included, which is exactly the kind of hidden behavioral obligation that must be surfaced.

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 scope disclaimer and then sequenced step-by-step. The embedded consent text lengthens it, but each clause is load-bearing for a two-step consent flow; slightly dense rather than padded.

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 mutation tool with no annotations, no output schema, and a nested object parameter, the description supplies everything needed: the two-call lifecycle, what step 1 returns, the gating condition, the required user action, and the exact consent language. Nothing an agent needs to call this 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 the baseline is 3, but the description goes further: it ties 'answers' to the field keys from enquiry_fields, specifies consent=true semantics and its exact wording, and explains that 'confirmation' is the token carried over from step 1. This meaningfully exceeds the schema's own parameter text.

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 (enquiry to human providers), and immediately distinguishes scope with 'NOT a purchase, NOT a guaranteed quote'. An agent can separate this from the dataset_* and enquiry_describe/enquiry_fields siblings 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 an explicit two-step protocol: step 1 with answers+consent, then step 2 only after the person agrees, gated on the confirmation token. It also names the precondition (person must agree) and the downstream condition (email link must be clicked before any provider sees it).

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