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

submit_enquiry

Submits an enquiry to Landlord Database Check — 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 landlord compliance specialist, 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 landlord compliance specialist, 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

A5/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden. It discloses that the enquiry is not submitted until the second step, that consent requires agreement to the exact quoted line, and that the person receives an email with a link that must be clicked before any provider sees the enquiry. It also reveals what the first call returns: a summary, consent line, and confirmation token.

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 long but information-dense; every segment earns its place, from disambiguation to step 1, the consent quote, step 2, and the post-submission email behavior. The top-line 'NOT a purchase' prefix and clear Step 1/Step 2 structure make it scannable despite its length.

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 human-submission tool with no annotations and no output schema, the description is unusually complete: it covers return values, the exact consent requirement, when to proceed, and the email-link precondition. An agent has enough context to execute the workflow correctly and set user expectations.

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

Parameters5/5

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

Schema coverage is already 100%, and the description adds meaningful workflow semantics: answers are keyed by field key from enquiry_fields, consent is tied to the exact consent line, and confirmation is the token returned in step 1 for reuse in step 2. This teaches an agent how the parameters relate to each other rather than just restating 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 opens with a specific action, 'Submits an enquiry to Landlord Database Check', and immediately disambiguates with 'NOT a purchase, NOT a guaranteed quote'. The two-step workflow is stated in the title and elaborated in the body, so an agent can distinguish this from the checker_* and enquiry_* siblings.

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?

It gives an explicit two-step protocol: first call with answers and consent=true to get a summary and confirmation token, then 'only if the person agrees' call again with the same answers and the token. It also states when the tool is not applicable ('NOT a purchase, NOT a guaranteed quote'), giving clear when-to-use and when-not-to-use guidance.

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

A3.9/5.0
Disambiguation4/5

The tool purposes are mostly distinct: checker_start begins the guide, checker_answer advances it, and checker_tree provides the full decision tree for reasoning. There is minor overlap between checker_answer and checker_tree, but the descriptions clarify their intended uses enough to avoid serious misselection.

Naming Consistency3/5

Naming is readable but not fully consistent: checker tools use a checker_ prefix, while enquiry tools mostly use an enquiry_ prefix, and submit_enquiry reverses the pattern to verb_noun. The mixed orientation is understandable but lacks a single predictable convention.

Tool Count5/5

With 6 tools covering two well-defined workflows—the landlord checker decision guide and the enquiry submission process—the count feels appropriately scoped. Each tool earns its place without redundancy or bloat.

Completeness5/5

The checker workflow is fully covered by start, answer, and tree, allowing both interactive and end-to-end reasoning. The enquiry workflow is also complete with describe, fields, and submit covering explanation, data collection, validation, consent, and submission.

Resources