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Amazon Product Details

ecommerce.amazon.product
Read-onlyIdempotent

Get full Amazon product details by ASIN: title, brand, price, rating, stock status, feature bullets, categories, seller name. Supports 12 marketplaces.

Instructions

Get full Amazon product details by ASIN — title, brand, price, rating, stock status, feature bullets, categories, seller name. Use ASINs from canopy.search. 12 Amazon marketplaces supported (Canopy API)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinYesAmazon ASIN product ID (e.g. "B0CRSNCJ6Y"). Get ASINs from canopy.search
domainNoAmazon marketplace: US, UK, CA, DE, FR, IT, ES, AU, IN, MX, BR, JP (default US)US

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds value by listing the specific fields returned, consistent with the annotations. No additional behavioral context like rate limits or auth is provided, but the annotations cover the safety profile adequately.

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 concise and front-loaded, with a single sentence that immediately conveys the tool's purpose. Every word earns its place, and there is no redundancy.

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

Completeness5/5

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

Given the presence of an output schema, annotations covering the tool's safety, and a clear parameter schema, the description is complete enough for a simple lookup tool. It adds the source of ASINs and marketplace scope, which is sufficient for correct usage.

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 baseline is 3. The description repeats the list of marketplaces already in the schema's domain description, adding no new parameter semantics beyond what the schema already provides.

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

Purpose5/5

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

The description clearly states the purpose with a specific verb and resource: 'Get full Amazon product details by ASIN'. It lists the returned fields (title, brand, price, etc.) and distinguishes from sibling search tools by instructing to use ASINs from canopy.search.

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

Usage Guidelines4/5

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

The description provides clear context: use ASINs from canopy.search, and supports 12 marketplaces. However, it does not explicitly differentiate from closely related siblings like ecommerce.amazon.offers or mention when not to use it.

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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