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amazon_product: GET /

hasdata_amazon_product_getProductDetails

Fetch Amazon product details by ASIN across any Amazon domain. Retrieve title, brand, pricing, availability, Buy Box, Prime eligibility, ratings, images, and more for product research, price monitoring, or catalog enrichment.

Instructions

Get Amazon Product Details

Fetches a single Amazon product page by ASIN on a chosen Amazon domain (amazon.com, .co.uk, .de, .jp, etc.). Returns title, brand, current/list/deal price, currency, availability, Buy Box seller, Prime eligibility, bullet points, A+ description, rating and review count, images, category breadcrumbs, variants/sibling ASINs, and the other-sellers offers block (when otherSellers=true), plus delivery-zone-aware pricing when a shipping zip/location is set. Use for product research agents, price/stock monitoring, catalog enrichment, listing QA, Buy Box tracking, and cross-locale competitive analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinYesThe Amazon Standard Identification Number (ASIN) of the product.
domainNoAmazon domain to use. Default is www.amazon.com.
languageNoOptional Amazon language code. Supported values depend on the selected domain.
deliveryZipNoPostal code of the delivery location.
shippingLocationNoThe two-letter country code to define the country of the delivery address.
otherSellersNoIf set to true, extracts the other sellers block from the product page.
Behavior3/5

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

No annotations provided, so the description carries full burden. It discloses that it returns many fields and supports optional parameters like otherSellers and delivery zone. However, it does not mention error behavior, rate limits, or authentication requirements.

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

Conciseness4/5

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

The description is a single paragraph that is well-organized: purpose statement, then list of returned fields, then use cases. It is concise and front-loads the main action.

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

Completeness4/5

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

Given the absence of an output schema, the description thoroughly explains what the tool returns (title, brand, price, etc.) and optional features. It is complete for a single-product fetch tool, lacking only minor details like error handling.

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

Parameters4/5

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

Schema coverage is 100% with parameter descriptions. The description adds value by explaining the context of deliveryZip/shippingLocation and otherSellers. It provides semantic understanding beyond the schema.

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 it fetches a single Amazon product page by ASIN on a chosen domain, and lists the returned fields. It is specific about the resource and action, but does not explicitly differentiate from sibling tools like reviews or seller details.

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 lists several use cases (product research, price monitoring, etc.) but does not specify when not to use this tool or mention alternative tools for related tasks.

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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