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

submit_enquiry

Submits an enquiry to Underpinning Costs — 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 local underpinning contractors, 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 local underpinning contractors, 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

A4.6/5.0
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 it does remarkably well: it discloses the two-step behavior, validation, the confirmation token flow, the consent line, the email with a required link, and that no provider sees the enquiry until the link is clicked. It also states clearly that this is not a purchase or guaranteed quote, giving the agent a full picture of side effects.

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

Conciseness4/5

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

The description is longer than average but front-loads the critical distinction ('NOT a purchase, NOT a guaranteed quote') and organizes the workflow into clear Step 1 and Step 2 sections. The consent wording is repeated from the schema, which adds a little redundancy, but overall each sentence contributes necessary operational detail.

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 there is no output schema and no annotations, this description provides everything an agent needs to call the tool correctly: the required answers, consent semantics, the two-step token flow, what to show the person, and the post-submission email behavior. It is complete for a tool of this complexity.

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, and the description adds meaning beyond the schema: it ties answers to enquiry_fields, explains that consent is only true when the person has read the exact consent text, and clarifies that confirmation is the token returned in step 1. This is useful workflow context that the schema alone would not convey.

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 uses a specific verb and resource: 'Submits an enquiry to Underpinning Costs' and clearly positions it as a two-step submission rather than a purchase or guaranteed quote. It also references field keys from enquiry_fields, which helps distinguish it from the sibling enquiry_describe and enquiry_fields tools.

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 explicit step-by-step usage guidance: call first with answers and consent=true, show the returned summary, then call again only if the person agrees, using the same answers and confirmation token. It clearly says when to send the second call, but it does not explicitly describe when not to use this tool versus the sibling tools beyond implying that field keys come from enquiry_fields.

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

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct role: enquiry_describe explains the process, enquiry_fields provides the input schema, and submit_enquiry performs the submission. There is no meaningful overlap or risk of selecting the wrong tool for a given step.

Naming Consistency4/5

The names are readable and all use lowercase snake_case, but the pattern is slightly mixed: enquiry_describe and enquiry_fields lead with the resource, while submit_enquiry leads with the action. This is a minor deviation from a fully consistent verb_noun convention.

Tool Count5/5

Three tools is well-scoped for this narrow enquiry submission flow. Each tool serves a necessary purpose: reading instructions, inspecting fields, and submitting with confirmation.

Completeness5/5

The set fully covers the described workflow: orientation, schema discovery, and two-step consented submission. No obvious dead ends or missing operations exist within the intended scope.

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