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amazon-product-research-mcp

seller_profile

Read-only

The stored Amazon SELLER PROFILE for one seller - by seller id (the 'A...' code in /sp?seller=... or the seller_id on an offer) or by the seller/operator name the other tools use. RETURNS the seller's star rating, lifetime and 12-month rating counts, positive-feedback % (with its period), feedback per period (30 d / 90 d / 12 m / lifetime: average rating + count), the rating histogram, up to 5 recent feedback entries (date / rating / struck ONLY - never a buyer's name or text), the business block where the seller publishes one on Amazon (legal name, registration / VAT numbers, address, phone, e-mail, representative; null on au/ca), and tracking (since when and how often Webotee has observed the seller). include_history=true adds the rating-change points and storefront-size points, oldest first, UTC. USE WHEN the user asks who a seller is, how it is rated, whether its rating moved, or wants the legal entity behind a storefront. It reads Webotee's seller store (re-read about every 14 days) - it never fetches Amazon live; a seller not stored yet answers not_yet_tracked. For what a seller SELLS use the operator_* tools. Amazon marketplaces only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seller_idNoAmazon seller id: 'A' + 8-24 letters/digits. Give this OR operator_name.
operator_nameNoThe seller / operator display name as the operator_* tools return it (resolved to a seller id on the chosen marketplace; the id wins when both are given).
history_pointsNoinclude_history=true: the latest N change points per series (1-200).
marketplace_idNo1 = Amazon UK, 2 = Amazon US (default), 4 = Amazon CA, 5 = Amazon AU, 6 = Amazon DE, 7 = Amazon JP, 8 = Amazon IT, 9 = Amazon FR, 10 = Amazon ES, 11 = Amazon MX, 12 = Amazon BR. Amazon only.
include_historyNoAppend history: rating change points + storefront-size points (oldest first, UTC).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, and the description substantially extends them: it reads Webotee's store (re-read ~14 days), never fetches Amazon live, returns not_yet_tracked for unknown sellers, restricts feedback text ('never a buyer's name or text'), and notes the business block is null on au/ca. That is real behavioral context an agent cannot get from the annotations.

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?

Front-loaded and organized into purpose, RETURNS list, usage trigger, and caveats. The RETURNS sentence is long and dense, but each clause maps to a distinct return element an agent needs; little is padding, though it could be tightened.

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?

No output schema exists, so the description must carry the return contract, and it does exhaustively (rating, counts, feedback windows, histogram, recent entries, business block, tracking, optional history series). Freshness, live-vs-stored sourcing, and the not_yet_tracked failure mode are all stated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds the resolution semantics between the two identifier options ('the A... code in /sp?seller=... or the seller_id on an offer' vs the name the other tools use) and how include_history/history_points interact. It clarifies which identifier to pick in context rather than merely restating the schema.

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+resource ('The stored Amazon SELLER PROFILE for one seller') and enumerates exactly what comes back (rating, feedback, histogram, business block, tracking). It explicitly distinguishes itself from the sibling operator_* tools by scope: profile/identity here, 'what a seller SELLS' there.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit USE WHEN trigger ('who a seller is, how it is rated, whether its rating moved, or the legal entity behind a storefront') plus a named alternative for the adjacent need ('For what a seller SELLS use the operator_* tools'). Both when-to-use and when-to-use-something-else are covered.

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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