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KuudoAI

Amazon Vendor Central MCP

by KuudoAI

VendorDirectFulfillmentOrdersV1_submitAcknowledgement

Submit purchase order acknowledgements for one or more orders in Amazon Vendor Central, confirming order acceptance and details.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Submits acknowledgements for one or more purchase orders.

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

C2.9/5.0
Behavior2/5

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

Annotations are absent, so the description carries the full burden. It does add one useful behavioral caution: 'Runs in your Kuudo deployment, not here.' But it omits side effects, authentication expectations, request/response behavior, error cases, and what 'submit acknowledgement' actually does beyond the bare action.

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 description is very compact and front-loads the deployment caveat before the action. However, the phrase 'Catalog entry' is ambiguous and does little to help an agent understand the tool. It is concise, but not every word clearly earns its place.

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 many similarly named versioned siblings, an agent needs far more context to invoke this correctly. The description does not explain what payload is expected, how purchase orders are identified, what the response looks like, or why this tool should be chosen over its near-identical counterparts.

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?

There are zero declared parameters and the schema is empty, so the schema provides no parameter documentation burden. The description adds the domain context of 'one or more purchase orders.' The lack of detail about an implicit request body is a real gap, but with no formal parameters this dimension is not the main weakness.

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: 'Submits acknowledgements for one or more purchase orders.' This distinguishes the operation semantically from getOrders/getOrder tools. However, the 'Catalog entry. Runs in your Kuudo deployment, not here' preface muddies whether this tool is actually invocable in the current environment, so it is not a perfect 5.

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 guidance about when to prefer this V1 submitAcknowledgement over siblings like VendorDirectFulfillmentOrders20211228_submitAcknowledgement or VendorOrdersV1_submitAcknowledgement. The deployment caveat is context, not a routing rule, and no alternatives or exclusions are mentioned.

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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