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

submit_enquiry

Submits an enquiry to P11D Changes — 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 a relevant payroll provider or accountant, who'll contact 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 a relevant payroll provider or accountant, who'll contact 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

A4.9/5.0
Behavior5/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure, and it does so thoroughly. It reveals the two-step validation behavior, the need for explicit consent, the email follow-up, and the condition that no provider sees the enquiry until the link is clicked.

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 longer than average, but every sentence earns its place: the non-purchase caveat is front-loaded, the two steps are clearly separated, and the exact consent statement is included because it is legally/behaviorally critical. No filler or redundant explanation exists.

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?

Given there is no output schema and no annotations, the description is remarkably complete. It explains return values from step 1, the required confirmation token for step 2, the consent text, and downstream effects such as email delivery and provider visibility. An agent has everything needed to execute the tool correctly.

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 value by specifying that answers must use field keys from enquiry_fields and that confirmation is the token returned in step 1 after the person approves the summary. The consent wording is repeated from the schema, so not all parameter value is new, but the sequencing context is genuinely helpful.

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 action ('Submits an enquiry to P11D Changes') and immediately clarifies what it is not ('NOT a purchase, NOT a guaranteed quote'), which prevents misuse. It also outlines the two-step submission process, making the tool's role distinct from sibling tools 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 Guidelines5/5

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

The description gives explicit step-based instructions: call first with answers and consent to get a summary and token, then call again only after the person agrees. It also references enquiry_fields for field keys, telling the agent how to obtain valid answers and implicitly separating this tool from field-description siblings.

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

A3.8/5.0
Disambiguation4/5

The checker tools are distinct: start begins, answer advances step-by-step, and tree provides the full decision graph for offline reasoning. The enquiry tools also separate concerns: describe explains semantics, fields provides schema, and submit performs the action. checker_tree and checker_answer overlap slightly in information content, but their intended uses are clearly differentiated.

Naming Consistency4/5

The checker_* and enquiry_* prefixes create clear clusters, and the suffixes are mostly readable and predictable. submit_enquiry breaks the prefix pattern by placing the verb before the noun, and tree/fields are nouns while start/answer/describe are verbs, but the conventions are still coherent enough to navigate.

Tool Count5/5

Six tools is a well-scoped count for a server covering two related workflows: decision-tree navigation and enquiry submission. Each tool serves a distinct and necessary step, with no redundancy or bloat.

Completeness5/5

The checker workflow is complete: start, step-by-step answering, and a full tree for end-to-end reasoning. The enquiry workflow is also complete: explanation, field schema, permission/consent handling, and two-step submission. There are no obvious dead ends or missing lifecycle steps for the stated domain.

Resources