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Words in. Barcode out. With how sure.

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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

A3.8/5.0

Scored across 1 tool

Disambiguation5/5

There is only one tool, so there is no possibility of misselection or overlapping purpose. Its single capability (phrase/offer line -> barcode with confidence and verification readings) is clearly bounded.

Naming Consistency5/5

The lone tool uses a clean snake_case verb_noun name (match_product) that accurately reflects its action and resource. No convention mixing is possible with a single tool.

Tool Count3/5

A single tool is defensible for a narrow, single-capability matching service, but it feels thin given the rich behavior described (candidates, ambiguity handling, verification readings). A few companion tools (e.g. bulk match or barcode lookup) would round it out.

Completeness4/5

The core workflow—input words and country, output a barcode with confidence, candidates, or unknown—is fully covered, including verification metadata. Minor gaps exist: no reverse lookup (barcode -> product), no batch/bulk matching, and no way to feed back corrections.

Available Tools

1 tool
match_productMatch ProductAInspect

Words in, barcode out, with how sure. Give a shopper's phrase or a merchant's offer line and a country; get back one barcode with a confidence, or the candidates when it is ambiguous (never a guess), or unknown. Every result carries four verification readings (source authority, disagreement, freshness and authorisation) and one result: verified, listed, stale or unknown. Price and stock are never verified from the record: they are read live, or unknown.

Inputs: words (required), country (required), kind, issue_receipt. Returns: object

Tool Schema Changelog

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