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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does so thoroughly. It reveals the validation step, the return of a summary and confirmation token, the requirement to send the confirmation token on the second call, the email with a click link, and that providers only see the enquiry after the person clicks. It also explicitly states this is not a purchase or guaranteed quote.

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 description is long but every sentence earns its place: it front-loads the critical 'not a purchase, not a guaranteed quote' distinction, then structures the two steps in order, and ends with the exact consent wording. The stepwise structure mirrors the actual invocation flow, making it easy for an agent to follow.

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?

Given the tool has a nested answers object, an optional confirmation parameter, no output schema, and the complexity of a two-step consent workflow, the description is complete. It explains what to expect from step 1 (summary, consent line, confirmation token), when to send the confirmation token, and what happens after submission, including the email link requirement. No critical missing context remains for correct invocation.

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?

The schema already describes all three parameters with 100% coverage, so the baseline is 3. The description adds meaningful context beyond the schema by explaining that answers are keyed by field key from enquiry_fields, that consent has a specific exact text, and that confirmation is the token from step 1 after approval. This elevated guidance justifies a 4.

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 ('submits an enquiry'), identifies the resource (Malta Tax Refund Calculator human providers), and clearly differentiates from a purchase or guaranteed quote. It also explains the two-step nature, making the tool's role unambiguous relative to sibling calculator 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?

The description gives explicit step-by-step usage: call first with answers and consent=true, show the summary and consent line, then call again only if the person agrees, including the confirmation token. It also states the condition for consent and the required post-submission action, leaving no ambiguity about when and how to invoke the tool.

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