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BACH-AI-Tools

Real Time Amazon Data MCP Server

asin_to_gtin

Convert any Amazon ASIN to GTIN identifiers like EAN-13, UPC, or ISBN to unify product identification across marketplaces and supply chains.

Instructions

Convert an Amazon ASIN to GTIN / EAN / UPS identifiers. Valid values for type are EAN-13, UPC, or ISBN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinYesAmazon product ASIN to convert.
countryNoSets the Amazon domain, marketplace country, language and currency. Default: US Allowed values: US, AU, BR, CA, CN, FR, DE, IN, IT, MX, NL, SG, ES, TR, AE, GB, JP, SA, PL, SE, BE, EG
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. The description is quite sparse - it states the core function but doesn't mention any edge cases, what happens with invalid ASINs, whether the country affects conversion results, or any rate limiting or authentication needs. For a conversion tool that could return diverse identifier formats, more behavioral context would be valuable.

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

Conciseness5/5

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

The description is two sentences with zero wasted words. It front-loads the core purpose and then clarifies the type parameter values. Every element earns its place.

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?

The tool is simple (2 params, 1 required, no output schema), so the bar for completeness is reasonably low. However, the description mentions a `type` parameter that isn't in the schema, which creates ambiguity about how the conversion is triggered or configured. The list of sibling tools are all product/influencer/deal related, so this stands apart, but the `type` mismatch and lack of return format details leave minor gaps.

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

Parameters3/5

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

Schema description coverage is 100%, so both parameters (asin and country) are already documented in the schema. The description adds value by documenting the `type` valid values, though `type` isn't listed as a parameter in the schema - this is slightly confusing. The description doesn't elaborate on country semantics beyond what the schema provides.

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

Purpose4/5

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

The description clearly states the tool converts ASIN to GTIN/EAN/UPC identifiers, with a specific verb (convert) and resource (Amazon ASIN). However, it doesn't distinguish from siblings, though the siblings are all product/influencer/deal-related tools, making this conversion tool fairly distinct in purpose.

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

Usage Guidelines3/5

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

The description mentions valid values for `type` (`EAN-13`, `UPC`, `ISBN`), which gives context on when/how to use the type parameter. However, there is no explicit guidance on when to use this tool vs alternatives, nor any context about what converting an ASIN requires (e.g., needing a valid ASIN first, possibly from product_details). The usage context is implied rather than explicit.

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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