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

With no annotations, the description carries the full behavioral burden, and it does disclose a great deal: the two-call protocol, the token round-trip, the double-opt-in email whose link must be clicked before any provider sees the data, the cap of three hospitals/clinics, and the opt-out right. However, it never states permissions/auth requirements, rate limits, whether a step-1 call has side effects, or what happens if the token expires or is reused — meaningful gaps for a contact-detail-sharing mutation tool.

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 strongest disambiguation ('NOT a purchase') and organized as Step 1 / Step 2, which matches the call sequence. It loses a point because the full consent sentence is quoted nearly verbatim from the schema's consent description, adding length without new information.

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?

No output schema exists, and the description compensates by describing what step 1 returns (a summary, the consent line, a confirmation token) and what happens after step 2 (email with a required click, then provider visibility). For a nested-object, two-phase tool this covers everything an agent needs to call it correctly.

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, and the description goes beyond the schema by explaining that answers are keyed by the field key from enquiry_fields and that confirmation is the token returned by step 1 and only applies on the second call. This sequencing context is not inferable from the flat property definitions.

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 Gallbladder Surgery Cost') and immediately delineates what it is not ('NOT a purchase, NOT a guaranteed quote'). The reference to enquiry_fields ties it to a named sibling, so an agent can distinguish it from enquiry_describe and enquiry_fields 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 and consent=true, then step 2 only 'if the person agrees' with the same answers plus the confirmation token. The gating condition for the second call is stated verbatim, leaving nothing to inference.

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