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

submit_enquiry

Submits an enquiry to DSEAR Assessment Cost — 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 DSEAR assessors, who'll quote 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 DSEAR assessors, who'll quote 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

A5/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so thoroughly: it explains the two-step validation-before-submit flow, the need for explicit consent with the exact consent text, the email the person receives, and the condition that a provider only sees the enquiry after the email link is clicked. All meaningful side effects are disclosed.

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 dense but every sentence earns its place. It front-loads the core purpose and critical caveats, then structures the two steps logically. No filler or repetition; the length is justified by the complexity of the two-step consent flow.

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?

Given the two-step interaction, consent handling, and email side effect, the description covers everything an agent needs: how to start, what step 1 returns (summary, consent line, token), how to proceed, and the external consequence. There is no output schema, so the description's explicit mention of return values is essential and present.

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

Parameters5/5

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

Although schema coverage is 100%, the description adds crucial meaning beyond the schema: it clarifies that answers are keyed by field key from enquiry_fields, consent must be true and carries a specific agreed statement, and the confirmation token is from step 1 and required in step 2. This turns bare parameter names into a usable workflow.

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 verb and resource: 'Submits an enquiry to DSEAR Assessment Cost'. It also distinguishes itself with explicit caveats: 'NOT a purchase, NOT a guaranteed quote', and the title emphasizes the two-step nature. This fully disambiguates it from sibling tools like enquiry_describe and enquiry_fields.

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

Usage Guidelines5/5

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

It provides an explicit step-by-step procedure: Step 1 call with answers and consent=true, show the summary and consent line; Step 2 call again with same answers plus confirmation token only if the person agrees. It also states when not to treat it as a purchase or quote, making usage boundaries very clear.

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 purpose: one explains the process, one provides field metadata, and one handles submission. There is no overlap or risk of selecting the wrong tool for a given step.

Naming Consistency4/5

All names use lowercase snake_case, but the pattern mixes noun_verb (enquiry_describe), noun_noun (enquiry_fields), and verb_noun (submit_enquiry). This is a minor inconsistency that does not significantly harm predictability.

Tool Count5/5

Three tools is a lean, well-scoped set for a focused enquiry submission flow. Each tool is necessary and earns its place without redundancy.

Completeness5/5

The server covers the full workflow: understand the process, retrieve field definitions, validate answers, and submit with consent confirmation. There are no obvious missing operations or dead ends.

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