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Verify Gtin

verify_gtin
Read-onlyIdempotent

Product record from gtinfetch.ai (signed); hub layer: seat, market, claim, price, availability. Is this GTIN real, and whose is it? Check-digit validation, the GS1 prefix, and the validated record(s) that carry it on this hub with their brand and claim status.

Input Schema

NameRequiredDescriptionDefault
gtinYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful context beyond them: the record source (gtinfetch.ai, signed) and that the check is performed via check-digit and GS1 prefix rather than a live lookup. It still doesn't say what happens on an unknown/invalid GTIN.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, and the hook 'Is this GTIN real, and whose is it?' is effective. But the leading clause about the data source and 'hub layer: seat, market, claim, price, availability' is dense jargon that consumes the most prominent position without helping the agent invoke the tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value detail is not required, and annotations cover the safety profile. What remains missing is the input format and the failure/invalid-GTIN behavior, which matters for a validation tool an agent may call speculatively.

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

Parameters2/5

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

There is one parameter, gtin, with 0% schema description coverage, so the description carries the full burden — but it never states the expected format (GTIN-8/12/13/14, digits only, string vs numeric). A single string param whose format is critical to correctness is left entirely undefined.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys that this validates a GTIN via check-digit and GS1 prefix checks and returns the matching hub record(s), which is more than a restatement of the name. However, it is written as cryptic fragments ('Product record from gtinfetch.ai (signed); hub layer: seat, market, claim, price, availability') and never cleanly states the verb+resource, nor distinguishes itself from siblings like get_item or search_cleared_items.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no mention of alternatives, despite a crowded sibling set (get_item, search_cleared_items, find_verified_supplier). The reader must infer that verification precedes retrieval.

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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