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

submit_enquiry

Submits an enquiry to Own vs Charter — 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 aviation adviser or broker, 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 aviation adviser or broker, 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?

No annotations are provided, so the description carries the full burden, and it delivers comprehensively. It reveals the two-step flow, validation and return values, the requirement to display the summary and consent line, the exact consent text, the email with a click-through link, and the condition that providers see the enquiry only after that link is clicked. This is exemplary transparency.

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 carries necessary information for the two-step consent workflow. It is front-loaded with the key caveat 'NOT a purchase, NOT a guaranteed quote' and then proceeds logically through the steps. No filler or redundant 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?

Given the tool's complexity, the absence of annotations, and the lack of an output schema, the description is remarkably complete. It explains what happens in each step, what step 1 returns, what the agent must show the user, what consent means verbatim, and what the user must do after step 2. An agent has enough context to execute the tool correctly end-to-end.

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 description coverage is 100%, so the baseline is 3. The description adds value by explaining that answers are keyed by field key from enquiry_fields, that consent must be true in both steps, and that the confirmation token comes from step 1 and must accompany the second call. This context goes beyond the raw schema definitions.

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 Own vs Charter'. It also clearly distinguishes the tool from a purchase or a guaranteed quote, making its purpose unambiguous. The title reinforces this with 'two steps; not a purchase'.

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 when-to-call instructions for both steps: call with answers and consent=true first, then call again only after the person agrees, using the same answers and the confirmation token. It also provides an exclusion: not a purchase and not a guaranteed quote. However, it does not explicitly name alternative sibling tools for other scenarios, so it falls just short of full alternative routing.

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 checker tools and enquiry tools are clearly separated by purpose: start/answer/tree handle the decision guide flow, while describe/fields/submit handle the enquiry submission flow. Within each group, each tool has a distinct role with no meaningful overlap.

Naming Consistency4/5

Most tools follow a clear domain-prefixed naming pattern: checker_start, checker_answer, checker_tree, enquiry_describe, enquiry_fields. The one deviation is submit_enquiry, which reverses the pattern, and checker_tree/enquiry_fields use nouns rather than verbs, but overall the naming remains predictable and readable.

Tool Count5/5

Six tools is well-scoped for this server's two clear workflows: a decision-tree checker and an enquiry submission flow. Each tool serves a necessary function and none feel redundant.

Completeness5/5

The checker workflow has start, step-by-step progression, and full-tree access, covering all user reasoning paths. The enquiry workflow has description, field schema, and two-step submission with confirmation, leaving no obvious dead ends or missing steps.

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