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

submit_enquiry

Submits an enquiry to Malta Property Tax — 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 relevant Maltese tax advisers and notaries, 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 relevant Maltese tax advisers and notaries, 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 provided, the description carries the full burden and does so well. It discloses the two-step validation flow, the required consent wording, the return of a summary and confirmation token, the subsequent email with a link, and the fact that providers only see the enquiry after the person clicks the link. It also clarifies that 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.

Conciseness5/5

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

The description is longer than average but every sentence earns its place for a two-step interaction. It is front-loaded with the core purpose and the important 'not a purchase' caveat, then structured clearly with Step 1 and Step 2. There is no filler or redundancy beyond reinforcing the exact consent text.

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 tool with no output schema, the description explains both the step-1 result (summary, consent line, confirmation token) and the step-2 outcome (submission and email with a link). It also covers validation, consent requirements, and the human approval gate, so an agent has enough context to invoke the tool correctly across both steps.

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?

Schema coverage is 100%, so the baseline is 3. The description adds meaningful usage semantics by explaining that answers must use field keys from enquiry_fields, that consent must be true with a specific meaning, and that the confirmation token comes from step 1 and is only used after the person approves. This goes beyond the schema's property descriptions.

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?

The description states a specific action ('Submits an enquiry to Malta Property Tax') and a clear resource, while explicitly clarifying what it is not ('NOT a purchase, NOT a guaranteed quote'). It distinguishes itself from the sibling tools by describing a submit flow rather than a describe/fields operation.

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 an explicit, step-by-step procedure: call first with answers and consent=true, show the summary and consent line, then call again only after agreement with the confirmation token. It does not explicitly route to alternatives like enquiry_describe or enquiry_fields, but it does reference enquiry_fields as the source of answer keys, which provides useful context.

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

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct role: one explains the process, one provides the input schema, and one performs the two-step submission. There is no meaningful overlap between their purposes.

Naming Consistency3/5

All names use snake_case and revolve around the enquiry concept, but the pattern is mixed: 'enquiry_describe' and 'enquiry_fields' put the noun first, while 'submit_enquiry' uses verb-first order. The names are still readable and reasonably related.

Tool Count5/5

Three tools is exactly right for this narrow, single-purpose workflow: description, field discovery, and submission. Each tool earns its place and there are no redundant or missing operations at this scope.

Completeness5/5

The tool set covers the full lifecycle of the enquiry flow: reading about it, discovering required fields, and submitting with consent and confirmation. There are no obvious dead ends or missing operations for the stated purpose.

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