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amazon_seller_products: GET /

hasdata_amazon_seller_products_getSellerProducts

Retrieve paginated product listings from an Amazon seller's storefront. Returns ASIN, title, price, rating, review count, and Prime flag for each product to power competitor analysis and assortment mapping.

Instructions

Get Amazon Seller Products

Paginated listing of the storefront catalog offered by a given Amazon sellerId on the chosen domain. Returns each product row with ASIN, title, image, product URL, price and list price, currency, star rating, review count, and Prime flag. Use to map a competitor's or 3P seller's full assortment, detect new SKU launches, build brand-protection watchlists, drive price-intelligence pipelines, and seed per-ASIN deep-dives against the product and reviews endpoints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sellerIdYesThe unique Amazon seller ID.
domainNoAmazon domain to use. Default is www.amazon.com.
languageNoOptional Amazon language code. Supported values depend on the selected domain.
pageNoPage number for pagination (e.g., 1 for the first page, 2 for the second page, etc.).
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains that the tool returns paginated results with specific fields and implies read-only behavior. It does not cover rate limits or authentication but provides sufficient transparency for typical use.

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: a title line, a summary sentence, a return fields sentence, and a use case sentence. It is front-loaded and each sentence adds value without redundancy.

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 description covers purpose, return fields, and use cases, but given no output schema, it does not specify the return structure (e.g., array, pagination metadata missing). It also does not explain the optional language parameter. These gaps limit completeness.

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 all parameters already have descriptions in the input schema. The tool description adds no additional parameter-level information beyond implying pagination via 'page' and domain selection. Thus it meets the baseline but does not enhance parameter understanding.

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 it provides a paginated listing of products for a given Amazon sellerId on a domain, distinguishing it from siblings like product details, reviews, search, or seller details tools. It specifies the return fields and use cases, making the purpose unambiguous.

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 lists concrete use cases such as mapping a competitor's assortment, detecting new SKUs, and building watchlists, which imply when to use this tool. However, it does not explicitly state when not to use it or name alternative tools, though context from siblings suggests alternatives.

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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