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Amazon Seller MCP

Amazon Seller MCP

by bhavykhatri
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Create or update a listing

upsert_listing

Create or update an Amazon listing by providing product type, SKU, and attributes. Choose complete listing or product-only draft requirements.

Instructions

Creates or updates a listing via PUT. Provide productType, sku, and the full attributes object. Use requirements=LISTING for a complete/offer listing or LISTING_PRODUCT_ONLY for a product-only draft.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "sku": "<sku>",
      "productType": "<productType>",
      "attributes": "<attributes>"
    },
    "name": "upsert_listing"
  }
}

Input Schema

NameRequiredDescriptionDefault
skuYesThe seller SKU.
attributesYesThe listing attributes object (SP-API schema for the product type).
productTypeYesAmazon product type, e.g. SHIRT.
requirementsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the HTTP method (PUT) and the need for complete attributes, but does not explicitly state that the operation will overwrite existing listing data or mention side effects like validation failures or state changes beyond what is implied by 'upsert.'

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?

The description is two sentences, highly concise, and well-structured. It front-loads the action and follows with parameter priorities and requirement options, avoiding any unnecessary filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the moderate complexity (four parameters including a nested attributes object) and no output schema, the description lacks information about the expected response format, potential errors, or the fact that the operation is a full replacement. It does cover the core usage but misses some contextual details that would help an agent handle the operation safely.

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 75% (3 of 4 params have descriptions). The description adds value by clarifying 'full attributes object' and explaining that requirements can be LISTING or LISTING_PRODUCT_ONLY, which complements the enum definition and gives semantic meaning beyond 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?

The description states a specific verb and resource: 'Creates or updates a listing via PUT.' It clearly differentiates from siblings like get_listing, delete_listing, update_price, and set_quantity by focusing on the full listing upsert operation.

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?

It provides explicit parameter guidance (productType, sku, full attributes) and explains the requirements enum values (LISTING vs LISTING_PRODUCT_ONLY). However, it does not explicitly contrast with alternatives like update_price or set_quantity, which could clarify when to use this tool over those.

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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