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

submit_enquiry

Submits an enquiry to Accountancy Practice Valuation — 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 practice broker or acquiring firm, 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 practice broker or acquiring firm, 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

A5/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral burden and does so comprehensively. It discloses the two-step behavior, validation and summary generation, the confirmation token, the email link requirement, and the fact that providers only see the enquiry after the person clicks the link. It also explicitly negates purchase and quote guarantees, which is valuable safety context.

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 long but every sentence carries necessary operational or safety information. It front-loads the most important caveats ('NOT a purchase, NOT a guaranteed quote'), then walks through the two steps in a clear, linear, and scannable way. No filler wording is present.

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?

Despite lacking an output schema and annotations, the description fully covers what an agent needs to invoke the tool correctly: the step sequence, the required consent wording, the confirmation token flow, the return values at each stage, and the downstream email requirement. There is no missing behavioral or workflow context for safe use.

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?

Even though schema coverage is 100%, the description adds critical meaning beyond the schema: it explains the confirmation token's role across the two steps, requires the same answers to be reused, and defines consent as the person having read and agreed to the specific text. This transforms the schema fields from mere 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 ('submits an enquiry') and the target resource ('Accountancy Practice Valuation'), and prominently clarifies that this is NOT a purchase or guaranteed quote. This clearly distinguishes the tool's purpose from related enquiry tools and leaves no ambiguity about what it accomplishes.

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?

The description provides an explicit two-step invocation protocol: Step 1 with answers and consent=true to obtain a summary and confirmation token, then Step 2 only after person approval with the same answers plus the token. It defines the consent condition verbatim and explains the consequence of consent, leaving no doubt about when and how to call the tool.

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

A4.6/5.0
Disambiguation5/5

Each tool has a clearly separate job: enquiry_describe explains the process, enquiry_fields provides the input schema, and submit_enquiry performs the two-step submission. There is no operational overlap or realistic chance of selecting the wrong tool.

Naming Consistency3/5

The names all revolve around 'enquiry' and use snake_case, but the pattern is mixed: enquiry_describe and enquiry_fields put 'enquiry' first, while submit_enquiry puts the verb first. The conventions are readable but not uniform.

Tool Count5/5

Three tools is exactly right for a single enquiry workflow: contextual description, field schema, and submission. Nothing feels redundant or missing at the tool level.

Completeness5/5

The set fully covers the enquiry lifecycle from explanation and schema discovery through validated, consent-confirmed submission. The two-step submit flow and email-link confirmation are built into the submit tool, so there are no dead ends.

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