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KuudoAI

Amazon Selling Central MCP

by KuudoAI

FulfillmentInbound_generateShipmentContentUpdatePreviews

Generate a preview of shipment content updates for inbound shipments with confirmed carriers, validating intended boxes and items before changes are applied.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Generate a shipment content update preview given a set of intended boxes and/or items for a shipment with a confirmed carrier.

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

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It warns that the tool 'runs in your Kuudo deployment, not here' and calls the operation a 'preview,' implying it is not the final confirmation, but it does not disclose side effects, persistence, required authorization, return contents, or how the preview is later confirmed.

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 short and mostly relevant, but the core action is buried after two introductory fragments, and 'Catalog entry.' adds little value. It would be stronger if the 'Generate...' sentence came first.

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 output schema, no annotations, and an empty input schema, the description must provide enough operational context on its own. It does not explain what the preview contains, how to identify the shipment, what inputs are required beyond vague 'boxes and/or items,' or how this fits with list/get/confirm preview operations.

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 is empty with no declared parameters, so the description's mention of 'intended boxes and/or items' and 'a shipment with a confirmed carrier' is the only semantic guidance. This is adequate for a zero-parameter schema, though it still lacks concrete encoding details.

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

Purpose5/5

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

The description uses a specific verb and resource — 'Generate a shipment content update preview' — and scopes it with 'a set of intended boxes and/or items for a shipment with a confirmed carrier.' This clearly differentiates it from sibling list/get/confirm preview operations and from packing-option generation.

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

Usage Guidelines4/5

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

It provides a clear precondition for use: the shipment must have a 'confirmed carrier' and the request concerns 'intended boxes and/or items.' It does not explicitly name list/get/confirm preview tools as alternatives, but the context is clear enough for an agent to know when this operation is relevant.

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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