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amazon_seller_products

Get the catalog of products sold by an Amazon seller by seller ID. Returns the same product objects as search_amazon_products plus the seller's total catalog size. Each page returns ~16 results; sortable by price, reviews, newest, or best sellers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, 1-50 (default: 1). Each page returns ~16 results.
countryNoMarketplace country code (default: "us")us
sort_byNoSort orderrelevance
seller_idYesAmazon seller ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / page / description
      Previous value: -"Page number, 1-20 (default: 1). Each page returns ~16 results."New value: +"Page number, 1-50 (default: 1). Each page returns ~16 results."
  2. Added

TDQS

A4.2/5.0
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 adds useful behavioral context: pagination of ~16 results per page, sortability by price/reviews/newest/best sellers, and that it returns the same product objects as search_amazon_products plus total catalog size. It does not mention error handling or rate limits, but for a read-only catalog fetch this is reasonably transparent.

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?

Two sentences with no filler. The core action and required identifier are front-loaded, and the second sentence adds relevant comparison and pagination/sort behavior. Every clause contributes useful information.

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?

For a paginated catalog tool with no output schema, the description covers what is returned, the relationship to search_amazon_products, page size, and sortability. It does not explain error behavior for invalid seller IDs or country-specific nuances, but those are typically not required for tool selection and invocation. The required parameter, pagination, and sorting are all addressed.

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 the baseline is 3. The description adds marginal semantic value by summarizing sort options as 'price, reviews, newest, or best sellers,' but the schema already documents every parameter, enum, and default. No parameter meaning is missing.

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 a specific verb and resource: 'Get the catalog of products sold by an Amazon seller by seller ID.' It distinguishes itself from the sibling search_amazon_products by noting it returns the same product objects plus the seller's total catalog size, avoiding confusion with other Amazon tools.

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 implies when to use this tool: when you have a seller ID and need all products from that seller. It explicitly references search_amazon_products as the related alternative and clarifies the difference, though it does not state explicit exclusion cases or say 'use search_amazon_products for keyword searches.'

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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