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Submit an ENQUIRY to human providers (two steps; not a purchase)

submit_enquiry

Submits an enquiry to Malta VAT Registration — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Happy for my details to go to a relevant Maltese VAT practitioner or accountant, who'll contact me directly."

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answersYesthe person's answers, keyed by field key
consentYestrue only when the person has agreed to: Happy for my details to go to a relevant Maltese VAT practitioner or accountant, who'll contact me directly.
confirmationNothe confirmation token from step 1, after the person has approved the summary

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does well: it discloses that the first call is only validation, that a second call is required to submit, that the response includes a summary/consent line/token, and that the person must click an emailed link before a provider sees anything. No annotation contradiction exists because no annotations were provided.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is organized into numbered steps, front-loads the essential 'NOT a purchase/quote' caveat, and every sentence adds operational guidance. The consent quote is repeated from the schema, but that repetition is justified because it must be shown verbatim to the person.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-step submission tool with no output schema, the description is complete: it defines the state transition (validation token → confirmed submission), states what is returned, explains the email-link gating, and gives the exact consent text. The nested answers object and optional confirmation parameter are both contextualized in the workflow.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already covers all three parameters, so the baseline is 3. The description adds meaningful sequencing—answers must key off enquiry_fields, the confirmation token comes from step 1, and the second call must reuse the same answers—and repeats the exact consent wording the agent must show. This modestly exceeds baseline, though schema coverage is already high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

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 Malta VAT Registration') and explicitly frames it as a two-step workflow rather than a purchase or guaranteed quote. This clearly distinguishes it from the sibling checker/enquiry tools even without naming them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives a precise two-step protocol: first call with answers and consent=true, show the returned summary/consent line, then call again with the same answers, consent=true, and the confirmation token only if the person agrees. It also says what the tool is not ('NOT a purchase, NOT a guaranteed quote'). It does not explicitly name alternative sibling tools beyond referencing enquiry_fields as the source of field keys, so it stops short of a full alternatives comparison.

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

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TDQS

A4/5.0
Disambiguation5/5

The tool set splits cleanly into two domains: the Malta VAT registration checker flow (start, answer, tree) and the enquiry form (describe, fields, submit). Each tool has a distinct role with no meaningful overlap, so an agent can reliably select the right one.

Naming Consistency4/5

Most tools follow a clear resource_prefix + action pattern, such as checker_start, checker_answer, enquiry_describe, and enquiry_fields. The main deviation is submit_enquiry, which reverses the word order, but the naming remains readable and predictable overall.

Tool Count5/5

Six tools is a well-scoped set for the server's purpose: three for the checker decision guide and three for the enquiry workflow. Each tool earns its place and there is no bloat or missing scaffolding.

Completeness5/5

The checker tools fully cover the decision guide lifecycle: start, step through answers, and inspect the entire tree. The enquiry tools cover discovery, schema, and two-step confirmation submission, leaving no obvious dead ends in the intended workflow.

Resources