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

No annotations are provided, so the description carries the full behavioral burden, and it does disclose a lot: no purchase/no guaranteed quote, server-side validation, a returned summary plus confirmation token, a double-opt-in email link, distribution to up to three providers, and the ability to stop further sharing. It nonetheless omits failure modes (what happens on validation error, token expiry, or repeat submission).

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 step ordering is front-loaded and useful, but the consent sentence is reproduced almost verbatim from the schema's consent description, which is duplicated payload. Removing that quote would lose nothing, so the text is denser than it needs to be.

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?

With no output schema, the description correctly explains what step 1 returns (summary, consent line, confirmation token), which is exactly what an agent needs. A nested-object input and a two-phase state machine, however, would benefit from naming what happens if step 2 is called with a stale or missing token – that gap keeps it short of complete.

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% and both the answers-keying and consent wording already live in the schema, so the structured fields do most of the work. The description adds real meaning for the optional 'confirmation' parameter – it must be the token from step 1 and only after the person approves the summary – but not for answers or consent.

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 verb and resource ("Submits an enquiry to Confined Space Training Cost") and immediately negative-scopes it ("NOT a purchase, NOT a guaranteed quote"). It also implicitly separates itself from the sibling helpers enquiry_fields/enquiry_describe by naming enquiry_fields as the source of answer keys.

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?

Usage is spelled out as an explicit two-step protocol: Step 1 with answers + consent=true, Step 2 only if the person agrees, adding the confirmation token. The gate condition that selects each call is stated rather than left to inference.

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