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

submit_enquiry

Submits an enquiry to Oil Tank Removal 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 oil tank removal specialists, 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 oil tank removal specialists, 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

A4.6/5.0
Behavior5/5

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

With zero annotations, the description carries the full behavioral burden and succeeds: it discloses the two-step non-atomic behavior, the email side effect, and the material condition that providers only see the enquiry after the person clicks the link. It also states the exact consent wording that must be agreed to. An agent knows precisely what will happen and what constraints apply.

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 a single dense paragraph, but every sentence earns its place: exclusions, step 1, step 2, consent text, and post-submission behavior. The most critical discriminator ('NOT a purchase, NOT a guaranteed quote') is front-loaded, and the title summarizes the key facts. It could be improved with explicit numbering to separate step 1 from step 2, but no content is wasted.

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?

Despite having no output schema and no annotations, the description covers everything needed for correct execution: return values from step 1 (summary, consent line, confirmation token), the conditional trigger for step 2, the email-link gating behavior, and the exact consent text. For a high-complexity two-step tool, nothing an agent needs to call it correctly on the happy path 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 100%, so the schema already documents all three parameters, putting the baseline at 3. The description adds value beyond the schema by explaining that confirmation is only used in step 2 and by clarifying that answers must be keyed by field keys from enquiry_fields. This protocol context enriches the parameter semantics without contradicting 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?

The description states a specific verb and resource ('Submits an enquiry to Oil Tank Removal Cost') and immediately carves out what it is NOT ('NOT a purchase, NOT a guaranteed quote'), which prevents the agent from treating it as a transactional tool. The title reinforces the two-step nature. This is clear enough to distinguish from the enquiry_describe and enquiry_fields siblings.

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 an explicit, step-by-step invocation protocol: call once with answers and consent=true to validate, show the summary/consent line, then call again with the confirmation token only if the person agrees. It also names the source of answer keys ('keyed by field key from enquiry_fields'), implicitly pointing to a sibling. It does not explicitly name alternatives or say 'use enquiry_describe when you need to describe the enquiry,' so the routing guidance is strong but not fully explicit.

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

A4.1/5.0
Disambiguation4/5

The three tools have clearly distinct roles: describe the enquiry process, provide the field schema, and submit the enquiry. There is slight potential confusion because enquiry_describe and submit_enquiry both explain the submission flow, but their actual functions are easy to tell apart.

Naming Consistency2/5

The shared 'enquiry' root gives some thematic consistency, but the naming patterns are mixed: enquiry_describe and enquiry_fields lead with the noun, while submit_enquiry leads with the verb. This makes the set feel inconsistent and less predictable than a uniform verb_noun convention.

Tool Count5/5

Three tools is a well-scoped size for this narrow purpose: one to explain the flow, one to define the input schema, and one to perform submission. Each tool earns its place and there is no redundancy or bloat.

Completeness5/5

The tool set fully covers the enquiry lifecycle: an agent can understand the process, fetch all required fields, validate and submit, and handle the confirmation step. There are no obvious dead ends or missing operations within the stated domain.

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