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

submit_enquiry

Submits an enquiry to SEO content marketing — 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."

Input Schema

TableJSON 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?

No annotations are supplied, so the description carries the full burden, and it does most of it: it discloses that step 1 validates and returns a summary/consent line/token, that submission triggers a verification email the person must click before any provider sees it, and exactly what consent means. It omits failure behavior (invalid or expired token, whether answers must match step 1), which is the main residual gap.

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 disqualifier ('NOT a purchase') is front-loaded and the two steps follow in order, so the reader gets the critical framing first. It is slightly over-packed: the consent sentence appears both in the prose and in the schema, and the email-link detail is embedded mid-step rather than called out.

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?

With no output schema, the description takes on the job of explaining returns and does so (summary, consent line, confirmation token), and it covers the nested answers object, the human confirmation gate, and the downstream email verification. Nothing an agent needs to drive the two-step flow 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 description coverage is 100%, so a 3 is the baseline, but the description adds real meaning: 'answers' is keyed by field key from enquiry_fields, 'consent' is only true once the person has agreed to the quoted sentence, and 'confirmation' is specifically the token returned by step 1 after approval. That sequencing context is not in the schema.

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?

Names a specific verb and resource ('Submits an enquiry to SEO content marketing') and immediately rules out two likely misreadings ('NOT a purchase, NOT a guaranteed quote'). It also anchors itself to the sibling enquiry_fields for the answer keys, so an agent can place it among its three siblings 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 an explicit two-step protocol: call once with answers + consent=true to validate and get a token, then call again with the token only 'if the person agrees.' The precondition that selects each step is stated outright, and the human-in-the-loop gate is unambiguous.

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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