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Commercial Refinance 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

A3.7/5.0

Scored across 10 tools

Disambiguation4/5

Each tool targets a distinct query shape: schema (columns), provenance, exact-value rows (row), substring rows (search), multi-value ordered lookups (compare), aggregation (stats), and ranked extremes (top). The exact-match `dataset_row` and substring `dataset_search` can still be confused for simple lookups, and `dataset_compare` overlaps with repeated `dataset_row` calls, but the descriptions disambiguate well enough. The enquiry trio is clearly separated into explain, schema, and submit phases.

Naming Consistency4/5

All snake_case with a stable `dataset_` namespace covering the six read tools, plus `enquiry_describe`/`enquiry_fields`. Minor deviation: the transaction tool is `submit_enquiry` (verb-first) while its siblings are `enquiry_*` (noun-first), a small inconsistency that is still readable and predictable.

Tool Count5/5

Ten tools is well within the ideal range and each earns its place: six purpose-built dataset query shapes, two enquiry discovery tools, and one two-step submit tool. Nothing appears redundant or padded.

Completeness4/5

The read surface is thorough: schema, provenance, exact/search/compare retrieval, statistics, and ranked top-N, which covers most question types over a single dataset. Gaps are minor: search caps at 50 with no pagination or full-row enumeration, and the enquiry lifecycle has no status/lookup or cancellation tool after submission.

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 Commercial Refinance Quotes dataset. Call this first to learn the schema.

Inputs: no named parameters.

dataset_compareCompare rows side by sideBInspect

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

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

dataset_searchSearch the datasetBInspect

Rows of the Commercial Refinance 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 Commercial Refinance 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 Commercial Refinance 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 Commercial Refinance Quotes: it starts an enquiry with human providers who quote 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 Commercial Refinance 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 human providers (two steps; not a purchase)AInspect

Submits an enquiry to Commercial Refinance 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 any provider sees it. Consent means the person has read and agreed to: "By sending this you agree the Commercial Refinance 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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