Skip to main content
Glama
KuudoAI

Amazon Selling Central MCP

by KuudoAI

ExternalFulfillmentReturns_getReturn

Retrieve a specific return item by its ID to view details and manage external fulfillment returns.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Retrieve the return item with the specified ID.

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

B3.1/5.0
Behavior3/5

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

No annotations exist, so the description carries the behavioral disclosure burden. It does disclose that the tool is a 'Catalog entry' that runs in the Kuudo deployment rather than here, and 'Retrieve' signals a read-style operation. But it omits expected response content, authentication prerequisites, and remote-call mechanics, which is a noticeable gap.

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?

The description is appropriately short with three sentences and no filler; the deployment warning is useful. The main weakness is that the actionable instruction ('Retrieve the return item...') comes last, after lower-priority catalog/environment context, so it is not optimally front-loaded.

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?

For a simple retrieval tool, the description would be adequate if the ID parameter were documented, but the empty schema leaves a critical invocation gap. There is also no output schema, no mention of return shape, and no connection to the sibling listReturns operation, so the agent is not fully equipped to select and call it confidently.

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

Parameters2/5

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

The schema defines zero properties while allowing additionalProperties, yet the description references 'the specified ID' without giving its parameter name, type, location, or requiredness. This is the only semantic hint about how to invoke the tool correctly, and it is insufficient for constructing a valid call.

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 description uses the action verb 'Retrieve' with a specific object ('the return item') and a scoping criterion ('with the specified ID'), so the operation is identifiable. It does not explicitly differentiate from sibling tools like ExternalFulfillmentReturns_listReturns, but the ID-based retrieval language makes the core purpose clear.

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: use this when you need a specific return item by ID. It also offers an environment qualifier, 'Runs in your Kuudo deployment, not here,' which suggests it is not directly executable in the current environment. However, it does not explicitly state when to prefer this over listReturns or provide exclusions/alternatives.

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