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

With no annotations at all, the description carries the full burden and does so: it discloses that step 1 only validates and returns a summary/consent line/token, that nothing reaches any provider until the person clicks the emailed link and selects recipients, and that chosen providers pay a fixed fee. These are genuine behavioral facts an agent could not infer from the schema alone.

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 core statement and negations are front-loaded, and the Step 1 / Step 2 structure makes the two-call sequence easy to follow. The full consent sentence is quoted in the description despite already living verbatim in the schema's `consent` property, which is a meaningful block of duplicated text.

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?

The tool is a stateful two-call mutation with a nested answers object and no output schema, so the description must explain results itself — and it does: step 1 returns a summary, consent line and token; step 2 triggers an email link that gates provider visibility. Nothing an agent needs in order to invoke either call 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; the description goes beyond by explaining how the same `answers` and `consent` params are used differently across the two calls and where `confirmation` comes from. It also points at enquiry_fields for the field keys, which the schema does not say. Minor deduction because the per-parameter meaning is mostly restated rather than extended.

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 opens with a specific verb and resource ("Submits an enquiry to Hernia Surgery Cost") and immediately negates the two most likely misreadings ("NOT a purchase, NOT a guaranteed quote"), so an agent can't confuse it with a checkout or quoting tool. The two-step framing also distinguishes it from enquiry_describe/enquiry_fields, which are clearly discovery tools.

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?

It gives explicit when-to-call rules for both invocations: step 1 with answers plus consent=true, then step 2 "only if the person agrees" with the returned token. The gating condition and the human-in-the-loop requirement are stated as instructions, not left to inference.

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