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

No annotations are provided, so the description carries the full burden and does so: it discloses validation behavior, the returned summary/consent line/confirmation token, the requirement that the person must click an emailed link before any provider sees the data, and the verbatim consent scope (up to three hospitals, direct contact, ability to stop further sharing). Side effects and the human-in-the-loop requirement are unambiguous.

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 most important disambiguation ('NOT a purchase'), then ordered by call sequence. The long verbatim consent quotation is justified because it is the literal text the person must agree to, but it does make the description dense.

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 compensates by naming what step 1 returns (summary, consent line, confirmation token) and what happens after step 2 (email with a click-through link). For a nested-object, human-consent-gated submission tool, nothing an agent needs in order to invoke it 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; the description goes beyond it by tying 'answers' to field keys sourced from enquiry_fields and by explaining that 'confirmation' is the token returned in step 1 and is only supplied after the person approves the summary. That sequencing context is genuinely additive, though it does not add format or type detail beyond the schema.

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 and resource ('Submits an enquiry to Hernia Surgery Cost') and immediately disambiguates from what an agent might assume: 'NOT a purchase, NOT a guaranteed quote.' The two-step nature is made explicit, so it is distinguishable from the read-only siblings enquiry_fields and enquiry_describe.

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 call sequence: step 1 with answers + consent=true to validate, step 2 'only if the person agrees' with the same answers plus the confirmation token. The gating condition for each call is stated rather than implied, and the field-key source (enquiry_fields) is named.

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