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

No annotations are present, so the description carries the full behavioral burden, and it does most of that work: it discloses validation, the returned summary/consent line/token, and the critical downstream side effect that the person must click an emailed link before any provider sees the data. It stops short of failure modes (invalid answers, expired token) or retry behaviour, so it is strong but not exhaustive.

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 core verb and the not-a-purchase caveat, then cleanly ordered step 1 / step 2. It loses a point for quoting the full consent paragraph verbatim, which is already present in the consent parameter's schema description, making that block redundant.

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 steps in to explain exactly what each call returns (summary, consent line, confirmation token) and what the person receives afterwards. For a two-phase, nested-object mutation with no annotations, nothing essential to correct invocation 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, but the description adds real meaning: answers must be keyed by the field key from enquiry_fields, consent must be true, and confirmation is the token from step 1 used only on the second call. The procedural linkage across steps goes beyond what the schema descriptions convey.

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 Retirement Visa Calculator') and immediately scopes it against related concepts ('NOT a purchase, NOT a guaranteed quote'). An agent can distinguish this from the calculate/calculator_describe/enquiry_describe 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 procedure with the exact condition that selects each step: step 1 with answers+consent, step 2 'only if the person agrees' with the returned token. When-and-when-not guidance is fully specified 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.