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Cold Room Installation Cost: the site's own MCP server — enquiry (enquiry = a human handoff, not...

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Status
Healthy
Uptime
99.8% over 55 days
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

A4.2/5.0

Scored across 3 tools

Disambiguation4/5

The three tools split cleanly into explain (enquiry_describe), schema lookup (enquiry_fields), and action (submit_enquiry). The two read tools are adjacent in purpose—one explains semantics/consent, the other enumerates fields—so an agent could occasionally pick the wrong one, though the 'Read first' cue mitigates this.

Naming Consistency4/5

All names are snake_case and scoped to the enquiry domain, which keeps them predictable. The ordering is mixed, however: enquiry_describe and enquiry_fields are noun_verb while submit_enquiry is verb_noun, and 'fields' is a noun rather than an action verb.

Tool Count5/5

Three tools is exactly the right scope for a single enquiry form: one to explain the process, one to expose the schema, and one to submit. Nothing is padded, and no tool is missing a partner that would justify a fourth.

Completeness4/5

Describe → fields → two-step submit covers the entire enquiry lifecycle, including consent capture and email verification, which is strong for this narrow domain. Minor gaps remain: no tool to check enquiry status, resend the verification email, or withdraw a submitted enquiry.

Available Tools

3 tools
enquiry_describeWhat you get: an ENQUIRY with a human (not a purchase, not a guaranteed quote)AInspect

Read first. States plainly what submit_enquiry does on Cold Room Installation Cost: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

NameRequiredDescriptionDefault

No parameters

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well by stating 'Nothing is bought, ordered or paid; no quote is guaranteed; it is free.' It also discloses the returned content: who receives details, consent wording, and confirmation method. It could be slightly more explicit that this tool itself does not submit an enquiry.

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 compact and front-loaded with the imperative 'Read first.' It is slightly repetitive with the title and could tighten phrasing, but every sentence contributes useful information.

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 zero-parameter informational tool with no output schema, the description is remarkably complete: it explains what the tool does, what it does not do, key caveats, and what information will be returned.

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?

The input schema has zero parameters, so the baseline is 4. The description correctly focuses on behavior and return content rather than inventing parameter documentation that is unnecessary.

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 clearly states the tool's purpose: it 'States plainly what submit_enquiry does' and explains the outcome of starting an enquiry with human providers. It also differentiates itself from submit_enquiry by being the descriptive pre-read rather than the action itself, and from a purchase or guaranteed quote.

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 opening 'Read first' explicitly tells the agent to consume this before acting, and the description ties it to submit_enquiry. However, it does not mention enquiry_fields or explain when to prefer this over that sibling, so it lacks full alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

enquiry_fieldsThe questions the enquiry asksAInspect

Every field of the Cold Room Installation Cost enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.

NameRequiredDescriptionDefault

No parameters

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of explaining behavior. It clearly states what the tool returns and that the output contains field metadata, but it does not explicitly note that the tool is read-only, whether authentication is needed, or how the fields are structured in the response. For a simple field-listing tool this is adequate but not fully transparent.

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 a single sentence that immediately states the resource and enumerates the exact contents without filler. It also includes the important connection to submit_enquiry without adding unnecessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter introspection tool with no output schema, the description covers the essential information an agent needs: what fields are returned and how to use them. It does not explicitly describe the response container or mention the sibling enquiry_describe, but it is still sufficiently complete for correct invocation and use.

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?

The tool has zero parameters, so the baseline is 4. There are no parameter semantics for the description to clarify or compensate for, and the description contains no parameter-related ambiguity.

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 precisely identifies the resource: 'Every field of the Cold Room Installation Cost enquiry' and lists exactly what information is exposed (key, label, type, required, help text, allowed options). It also differentiates the tool from the sibling submit_enquiry by explaining that returned keys are meant to key answers to that tool.

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

Usage Guidelines3/5

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

The description provides a clear downstream usage instruction: 'Pass answers to submit_enquiry keyed by field key,' which tells the agent how the field keys should be used. However, it does not explicitly state when to prefer this tool over enquiry_describe or provide any exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Submits an enquiry to Cold Room Installation 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: "Send my contact details to up to three refrigeration engineers, chosen by Cold Room Installation Cost, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."

NameRequiredDescriptionDefault
answersYesthe person's answers, keyed by field key
consentYestrue only when the person has agreed to: Send my contact details to up to three refrigeration engineers, chosen by Cold Room Installation Cost, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them.
confirmationNothe confirmation token from step 1, after the person has approved the summary

TDQS

A4.6/5.0
Behavior5/5

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

No annotations are supplied, so the description carries the full behavioral burden and does so thoroughly: validation happens first, step 1 is non-submitting and returns a summary plus consent line and token, submission only occurs on step 2, and the person must click an emailed link before any provider sees the enquiry. The exact consent text and its scope (up to three engineers, each name emailed, ability to stop) is disclosed.

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?

Front-loaded with the key negative framing and the two steps, and every sentence carries operational weight. It is a dense single block, though, and the long verbatim consent quotation plus repeated consent references could be broken into clearer steps or bullets.

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 two-phase, nested-object mutation with no output schema, the description still tells the agent what step 1 returns (summary, consent line, confirmation token) and what happens after step 2 (email, link click, provider visibility). Nothing essential for calling it correctly in either phase is missing.

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

Parameters3/5

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

Schema coverage is 100% and the schema already documents answers as keyed by field key, consent as the agreement flag, and confirmation as the step-1 token. The description restates these relationships and adds the useful ordering constraint that the token comes only after approval, but it introduces little meaning the schema does not already carry.

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?

States a specific verb and resource ('submits an enquiry to Cold Room Installation Cost') and immediately negates two common misreadings ('NOT a purchase, NOT a guaranteed quote'). It ties itself to the sibling it depends on by naming enquiry_fields as the source of the field keys, so the agent can distinguish it from enquiry_describe and enquiry_fields without opening a schema.

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?

Gives exact when-to-call instructions for both phases: step 1 with answers plus consent=true, step 2 only after the person has approved the summary and with the returned token. It also states what this tool is not, which steers the agent away from treating it as a checkout or quote-issuing action.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • Changedsubmit_enquiry1 field changed
      • changedInput schema / properties / consent / description
        Previous value: -"true only when the person has agreed to: Send my contact details to up to three commercial refrigeration and cold room firms, chosen by Cold Room Installation Cost, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."New value: +"true only when the person has agreed to: Send my contact details to up to three refrigeration engineers, chosen by Cold Room Installation Cost, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."
  2. 1 tool update
    • Changedsubmit_enquiry1 field changed
      • changedInput schema / properties / consent / description
        Previous value: -"true only when the person has agreed to: Send my contact details to up to three relevant cold room installers, chosen by Cold Room Installation Cost, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."New value: +"true only when the person has agreed to: Send my contact details to up to three commercial refrigeration and cold room firms, chosen by Cold Room Installation Cost, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."
  3. 1 tool update
    • Changedsubmit_enquiry1 field changed
      • changedInput schema / properties / consent / description
        Previous value: -"true only when the person has agreed to: Happy for my details to go to relevant cold room installers, who'll quote me directly."New value: +"true only when the person has agreed to: Send my contact details to up to three relevant cold room installers, chosen by Cold Room Installation Cost, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."
  4. 3 tool updates
    • First observedenquiry_describe
    • First observedenquiry_fields
    • First observedsubmit_enquiry

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