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Server Details

Answering Service 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

A3.6/5.0

Scored across 10 tools

Disambiguation4/5

Dataset tools are mostly distinct by query shape: exact row lookup, substring search, multi-value comparison, extremes, and statistics. Minor overlap exists between dataset_row and dataset_search for exact matches, and dataset_columns includes a provenance banner while dataset_provenance gives full attribution, but descriptions help selection. Enquiry tools are clearly separated into explanation, field schema, and submission.

Naming Consistency4/5

All names use snake_case with clear dataset_ and enquiry_ domain prefixes. Dataset tools consistently follow dataset_<operation>, and enquiry tools mostly follow enquiry_<resource>. submit_enquiry deviates by using verb-first naming, but it remains readable and domain-prefixed.

Tool Count5/5

Ten tools is well within the appropriate range and maps cleanly to two workflows: seven dataset query/statistics tools and three enquiry tools. Each tool covers a distinct query shape or safety step, so the count is well-scoped.

Completeness4/5

The dataset surface covers schema, provenance, search, exact lookup, comparison, ranking, and statistics, which is enough for typical Q&A. The enquiry surface covers disclosure, field schema, and two-step consent-based submission; it lacks post-submission status or cancellation operations, but those are minor gaps for the stated purpose.

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 Answering Service Quotes dataset. Call this first to learn the schema.

Inputs: no named parameters.

dataset_compareCompare rows side by sideCInspect

The rows of the Answering Service 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 Answering Service Quotes dataset. Read this to attribute a figure correctly.

Inputs: no named parameters.

dataset_rowLook a row up by an exact keyBInspect

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

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

dataset_searchSearch the datasetBInspect

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

Inputs: query (required), limit.

dataset_statsSummary statistics for a numeric columnAInspect

count, min, max, mean, median and sum of a numeric column of the Answering Service 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 Answering Service 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)BInspect

Read first. States plainly what submit_enquiry does on Answering Service 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 Answering Service 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 Answering Service 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: "Send my contact details to up to three US answering service providers, chosen by Answering Service Quotes, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."

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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