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

submit_enquiry

Submits an enquiry to Digital marketing agency Swindon: 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 to be contacted about this enquiry by the company that runs this site."

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "answers": "<answers>",
      "consent": "<consent>"
    },
    "name": "submit_enquiry"
  }
}

Input Schema

NameRequiredDescriptionDefault
answersYesthe person's answers, keyed by field key
consentYestrue only when the person has agreed to: Happy to be contacted about this enquiry by the company that runs this site.
confirmationNothe confirmation token from step 1, after the person has approved the summary

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does so well: it discloses validation, the token round-trip, the double opt-in email link that must be clicked before any provider sees the enquiry, and the exact consent wording. It does not cover failure modes or rate limits, but the critical side effects and consent semantics are clear.

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 key distinction (not a purchase) is front-loaded and the steps follow in execution order, so it is well structured. It is a single dense paragraph with some repetition ('NOT a purchase, NOT a guaranteed quote'), but most sentences carry necessary procedural 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?

For a two-step, consent-sensitive submission tool with no output schema, the description supplies the return content (summary, consent line, confirmation token), the downstream effect (confirmation email), and the consent contract. Nothing an agent needs to invoke it correctly is missing.

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 already 100%, so the baseline is 3, but the description adds real meaning: 'answers' must be keyed by field key from enquiry_fields, 'consent' has a precise textual meaning the person must have agreed to, and 'confirmation' is the token returned by step 1 after approval. This goes beyond the schema's own 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 opens with a specific verb and resource ('Submits an enquiry to Digital marketing agency Swindon') and immediately distinguishes it from what it is not ('NOT a purchase, NOT a guaranteed quote'). An agent can tell this apart from siblings like enquiry_fields without opening the 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?

The two-step procedure is spelled out explicitly: step 1 with answers and consent=true returns a summary and token, and step 2 only runs 'only if the person agrees' with the same answers plus the confirmation token. It even tells the agent to show the person the summary and consent line before proceeding, leaving nothing to inference.

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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