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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, 1-20 (default: 1). Each page returns ~16 results.
countryNoMarketplace country code (default: "us")us
sort_byNoSort orderrelevance
seller_idYesAmazon seller ID

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It adds useful operational context: ~16 results per page, sortable dimensions, and the exact return shape (same product objects as search_amazon_products plus total catalog size). However, it does not disclose rate limits, behavior on invalid seller IDs, or explicitly confirm the read-only nature of the operation.

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?

Three sentences with the core purpose front-loaded and no wasted words. The only mild redundancy is the '~16 results' figure appearing in both the description and the page parameter description, and the sort summary partially repeating the sort_by enum. Overall it is tight and well ordered.

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 4-parameter list tool with no output schema, the description compensates well by telling the agent exactly what the response contains (same product objects as search_amazon_products plus catalog size) and the pagination behavior. Remaining gaps like error handling for invalid seller_ids and marketplace caveats are minor, and the page cap of 20 is already captured in the schema.

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: all four parameters including seller_id, page, country, and sort_by are already documented in the schema. The description adds modest redundancy by restating the ~16 results per page and summarizing sort options, but it contributes little meaning beyond the schema's structured field descriptions.

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 opens with a specific verb and resource: 'Get the catalog of products sold by an Amazon seller by seller ID.' It clearly identifies the scoping parameter and differentiates itself from the sibling search_amazon_products by stating it returns the same product objects plus the seller's total catalog size, so an agent can distinguish them.

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 implies usage context: call this when you have a seller ID and want that seller's catalog, and it references search_amazon_products as a point of comparison. However, it never explicitly states when to prefer this tool over search_amazon_products or amazon_seller_profile, nor does it give any when-not guidance, so routing is left to inference rather than stated.

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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TDQS

B3.1/5.0
Disambiguation4/5

Most tools are clearly scoped by platform and resource (e.g. search_twitter vs twitter_user_tweets vs twitter_tweet_details). A few pairs like twitter_tweet_comments vs twitter_user_replies or facebook_page_posts vs search_facebook_posts could cause minor confusion, but descriptions generally clarify the distinction.

Naming Consistency4/5

The dominant pattern is snake_case with a platform_prefix_resource suffix, and search_* consistently marks search operations. Minor deviations include noun-style names like amazon_best_sellers and place_photos, and the odd get_ skill/comments tools, but the overall convention is predictable.

Tool Count2/5

74 tools is far beyond the typical well-scoped MCP server, even for a multi-platform API aggregator. The breadth is justified by the many platforms covered, but an agent will face a very large action space, and this could reasonably be split into per-platform servers.

Completeness4/5

The server provides strong lifecycle coverage for its read-only domain: search, profile/details, posts, and engagement data across most platforms. Gaps exist for some platforms (e.g. no LinkedIn person profile, no Facebook event details, no Truth Social profile/search, no Reddit subreddit-specific tools), but the core workflows are well covered.

Resources