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Amazon Seller Products

amazon_seller_products
Read-only

Get the products an Amazon seller sells, by seller ID. Returns the same product objects as search_amazon_products plus the seller's total catalog size. Sort by price, reviews, newest or best sellers. About 16 results per page. Billed $0.005 per request.

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

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds real behavioral context beyond that: ~16 results per page, a per-request cost of $0.005, and that the seller's total catalog size is returned alongside the products. It does not discuss auth or rate limits, but for a read-only endpoint this is solid.

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?

Five short sentences, front-loaded with the purpose and return content, then sort options, page size and billing. Every sentence carries distinct information an agent needs; no filler.

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?

With no output schema, the description usefully states what comes back (product objects plus catalog size) and adds pagination and cost context. The country parameter is left to the schema, and no explicit alternatives are offered, but an agent has enough to call the tool correctly.

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 schema documents seller_id, page, country and the sort_by enum on its own. The description's mention of sort options (price, reviews, newest, best sellers) loosely echoes the enum without adding syntax or defaults, so the baseline 3 is appropriate.

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?

States a specific verb and resource (get the products an Amazon seller sells) scoped by seller ID, and explicitly ties itself to search_amazon_products by saying it returns the same product objects. This lets an agent distinguish it from the seller siblings (amazon_seller_profile, amazon_seller_reviews) and from the search tool without opening any schema.

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?

Usage is implied by the purpose (browse a specific seller's catalog) and the relationship to search_amazon_products is noted, but there is no explicit when-to-use/when-not guidance or routing against alternatives like amazon_best_sellers or amazon_seller_profile. An agent must infer the selection criteria.

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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