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

submit_enquiry

Submits an enquiry to Access Control 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 local access control installers, 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 local access control installers, 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

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so excellently. It discloses the two-step submission protocol, the consent requirement with the exact consent line, the confirmation token mechanism, the post-submission email with a required click link, and the fact that providers only see the enquiry after that link is clicked. This is far beyond a minimal description.

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 clause earns its place. It front-loads the core purpose and exclusions, then logically structures Step 1 and Step 2, including the exact consent wording. It avoids fluff while conveying a complex multi-step 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?

For a tool with no output schema and a nuanced two-step workflow, the description is remarkably complete. It explains what step 1 returns (summary, consent line, confirmation token), what step 2 requires, and what happens after submission. The only minor omission is explicit behavior for consent=false, but the schema and phrasing already imply it is not accepted.

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 process-level context: consent must be true only after the person has read and agreed to the specific line, answers must be keyed consistently between steps, and the confirmation token is required for the second call to actually submit. 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 verb and resource ('Submits an enquiry to Access Control Cost') and immediately clarifies what it is not ('NOT a purchase, NOT a guaranteed quote'). The two-step nature is explicit in both the title and description, making the tool's purpose unmistakable even next to siblings 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 Guidelines4/5

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

The description provides a highly explicit usage sequence: call first with answers and consent=true, then call again only if the person agrees, including the confirmation token. It also gives a clear when-not condition ('not a purchase'). It does not explicitly contrast with the sibling tools, but the caller is told to use field keys from enquiry_fields, which gives practical 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

A4.6/5.0
Disambiguation5/5

Each tool has a clearly distinct role: enquiry_describe explains the process, enquiry_fields provides the schema, and submit_enquiry performs the submission. There is no meaningful overlap or ambiguity between them.

Naming Consistency3/5

All names use snake_case and center on 'enquiry', but the pattern is mixed: enquiry_describe and enquiry_fields are noun-first while submit_enquiry is verb-first. This is readable but not a consistent verb_noun convention.

Tool Count5/5

Three tools is well-scoped for the server's narrow purpose of submitting an enquiry. Each tool earns its place by covering a distinct stage of the workflow.

Completeness5/5

The tool set fully covers the enquiry submission workflow: orientation, schema discovery, initial validation, and confirmed submission via token. There are no obvious dead ends or missing operations for the stated domain.

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