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KuudoAI

Amazon Vendor Central MCP

by KuudoAI

VendorDirectFulfillmentOrders20211228_getOrder

Retrieve detailed purchase order information for a specified purchase order number to support direct fulfillment processing.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Returns purchase order information for the purchaseOrderNumber that you specify.

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

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It adds useful context by flagging 'Runs in your Kuudo deployment, not here' and states that it returns PO information. It does not cover error behavior, output shape, or auth requirements, but the operation is a simple read and the environment warning is a meaningful disclosure.

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 three concise sentences with no filler. The purpose statement is last rather than front-loaded, and the opening 'Catalog entry' phrase is somewhat cryptic, but each sentence contributes a distinct piece of information.

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?

Given the empty schema, absent annotations, and no output schema, the description leaves important gaps: how purchaseOrderNumber should be passed, what the returned purchase order information looks like, and why it runs only in a Kuudo deployment. It is minimally identifiable but not complete enough for reliable invocation.

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 declares no formal properties, so the description is the only source of parameter meaning. It correctly names purchaseOrderNumber as the identifying input, which is essential. It does not specify the parameter's type or location (path/query/body), but this is still valuable beyond the empty schema.

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 clearly identifies the action (returns purchase order information) and the target resource (a single purchase order identified by purchaseOrderNumber), which goes beyond the bare tool name. It does not explicitly differentiate the 20211228 version from the sibling getOrder/getPurchaseOrder tools, so it misses the top score.

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 the tool is for retrieving a specific order when a purchaseOrderNumber is already known, and it warns that it runs in a Kuudo deployment rather than this environment. However, it does not name alternatives or state when-not-to-use, leaving the agent to infer which sibling version to choose.

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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