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Server Details

Background Check Quotes: the site's own MCP server — dataset, enquiry (enquiry = a human...

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

A3.5/5.0

Scored across 10 tools

Disambiguation4/5

The six dataset_* read tools have largely distinct purposes (schema, exact row lookup, free-text search, multi-value comparison, aggregate stats, top-N ranking), and the enquiry trio is cleanly separated into describe/fields/submit. The only real overlap is dataset_row vs dataset_search vs dataset_compare, which all retrieve rows and could be confused, though the descriptions spell out exact-match vs contains vs ordered-multi-value semantics.

Naming Consistency4/5

Nine tools follow a predictable prefix_action snake_case pattern (dataset_columns, enquiry_fields, etc.) that groups by resource. The one deviation is submit_enquiry, which inverts the pattern to verb_noun instead of enquiry_submit, but it remains readable and clearly part of the enquiry group.

Tool Count5/5

Ten tools is well within the sweet spot and each earns its place: six read primitives that answer different question shapes, plus three enquiry tools that implement a two-step consent flow plus schema discovery. Nothing feels padded or missing at the count level.

Completeness4/5

The dataset surface covers discovery (columns, provenance), retrieval (row, search, compare) and analysis (stats, top), which handles most read questions, and the enquiry flow is complete end-to-end with describe/fields/submit and a confirmation token. Gaps remain: no distinct-value/group-by tool for categorical enumeration, no way to page past the 50-row search cap, and no multi-column or date-range filtering beyond single-cell predicates.

Available Tools

10 tools
dataset_columnsDataset columns and shapeAInspect

The columns, which of them are numeric, the row count and the provenance banner of the Background Check Quotes dataset. Call this first to learn the schema.

Inputs: no named parameters.

dataset_compareCompare rows side by sideCInspect

The rows of the Background Check Quotes dataset whose column is any of the given values, in the order given, for "X vs Y" questions.

Inputs: column (required), values (required).

dataset_provenanceWhere this data comes from, and how to cite itAInspect

The source, the date it was computed, the licence and the citation for the Background Check Quotes dataset. Read this to attribute a figure correctly.

Inputs: no named parameters.

dataset_rowLook a row up by an exact keyAInspect

The rows of the Background Check Quotes dataset where a column equals a value exactly (case-insensitive).

Inputs: value (required), column (required).

dataset_searchSearch the datasetAInspect

Rows of the Background Check Quotes dataset whose cells contain the query (case-insensitive), up to 50.

Inputs: query (required), limit.

dataset_statsSummary statistics for a numeric columnBInspect

count, min, max, mean, median and sum of a numeric column of the Background Check Quotes dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).

Inputs: column (required).

dataset_topRank rows by a numeric columnBInspect

The highest (or lowest) rows of the Background Check Quotes dataset by a numeric column: "which is the most/least X".

Inputs: column (required), limit, ascending.

enquiry_describeWhat you get: an ENQUIRY with a human (not a purchase, not a guaranteed quote)AInspect

Read first. States plainly what submit_enquiry does on Background Check Quotes: it starts an enquiry with Background Check Quotes, whose team reads it and replies directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

Inputs: no named parameters.

enquiry_fieldsThe questions the enquiry asksAInspect

Every field of the Background Check Quotes enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.

Inputs: no named parameters.

submit_enquirySubmit an ENQUIRY to Background Check Quotes (two steps; not a purchase)AInspect

Submits an enquiry to Background Check Quotes: 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 the Background Check Quotes team sees it. Consent means the person has read and agreed to: "By sending this you agree the Background Check Quotes team reads your enquiry and replies by email. We do not pass it to anyone else."

Inputs: answers (required), consent (required), confirmation.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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