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HasData

hasdata-mcp

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amazon_seller_products: GET /

hasdata_amazon_seller_products_getSellerProducts

Get paginated Amazon seller product listings with ASIN, title, price, rating, review count, and Prime flag. Map competitor assortments, detect new SKUs, and drive price intelligence.

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?

No annotations provided, but description discloses pagination, required parameters, return fields, and non-destructive nature (GET). Could mention rate limits or pagination limits.

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?

Concise and front-loaded with title and key details; each sentence adds value, though one long paragraph could be slightly more structured.

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 no output schema, the description comprehensively covers return fields, pagination, required parameters, and use cases, making it complete for agent decision-making.

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%, and the description does not add meaning beyond what the schema already provides for each parameter.

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's a paginated listing of Amazon seller products with specific fields (ASIN, title, price, etc.), and distinguishes from sibling tools like getSellerDetails and getProductDetails.

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?

Lists explicit use cases (competitor analysis, SKU launches, brand protection, price intelligence) and mentions related endpoints, but does not explicitly exclude alternatives or state when not to use.

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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