Skip to main content
Glama
KuudoAI

Amazon Selling Central MCP

by KuudoAI

Feeds_createFeed

Create a feed to send catalog data to Amazon Selling Central. Submit product listings, pricing, inventory, and order updates through SP-API.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Creates a feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are present, so this description must carry the behavioral disclosure burden. It only states that the tool creates a feed and runs in a Kuudo deployment; it does not mention side effects, required permissions, asynchronous behavior, failure modes, or what happens after creation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is very short, so there is no verbosity problem. However, 'Catalog entry' reads as filler and the core action is placed last rather than front-loaded, so the structure is mediocre.

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

Completeness2/5

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

With no annotations, no output schema, and a permissive empty input schema, the description is not complete enough for correct invocation. An agent would not know what a successful create-feed call returns, what parameters to send, or what constraints/errors apply; the one deployment sentence does not fill those gaps.

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?

The schema nominally has no properties but sets additionalProperties=true, which leaves the input surface undocumented. The description adds no parameter guidance such as what feed-type or content information is needed, so the agent cannot determine what arguments to supply; the 100% coverage is only nominal because the property list is empty.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The phrase 'Creates a feed' supplies a specific verb and resource, and the create action differentiates it from sibling tools like Feeds_getFeed, Feeds_cancelFeed, and Feeds_createFeedDocument. The opening 'Catalog entry' and deployment note add metadata rather than purpose detail, so it is clear but not maximally sharp.

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

Usage Guidelines2/5

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

There is no statement of when to choose this tool over an alternative or when not to use it. 'Runs in your Kuudo deployment, not here' describes execution location, not selection criteria, so the agent gets no routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/KuudoAI/amazon-selling-partner-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server