Skip to main content
Glama
KuudoAI

Amazon Selling Central MCP

by KuudoAI

FulfillmentInbound_getInboundOperationStatus

Retrieve the current processing status of an asynchronous inbound fulfillment operation, so you can confirm completion or detect failures without waiting blindly.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Gets the status of the processing of an asynchronous API call.

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

B3.3/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It does disclose an important behavioral trait: 'Runs in your Kuudo deployment, not here,' which tells the agent this is not a locally invocable operation. However, it does not explicitly state read-only behavior, response characteristics, or whether any side effects occur.

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 only three short sentences and is easy to parse. However, the 'Catalog entry' sentence adds limited value and the core purpose is placed last, after context. It is concise but not perfectly front-loaded.

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?

For a simple status-check tool, the description identifies what the tool does and where it executes. Still, with no output schema and no annotation coverage, it does not explain what the returned status data looks like or how the operation being checked is identified, leaving meaningful gaps for an agent deciding whether and how to invoke it.

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?

The input schema has zero declared parameters and 100% schema coverage, so by the baseline rule a 4 is appropriate. The description adds no parameter-level detail, but with no declared parameters there is little to document. The empty schema and 'additionalProperties: true' are not clarified, but the description does not actively mislead.

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 states a clear action and resource: 'Gets the status of the processing of an asynchronous API call.' This distinguishes it from most sibling tools, which focus on creating, updating, or retrieving concrete fulfillment entities. The 'Catalog entry' phrase adds confusion but does not obscure the core purpose.

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?

The description gives no explicit guidance on when to use this tool versus alternatives. It implies use for checking async operation status but does not mention any alternative tools, prerequisites, or exclusions. The deployment note is context, not usage 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