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KuudoAI

Amazon Selling Central MCP

by KuudoAI

Shipping_generateCollectionForm

Generate a collection form for Amazon shipping orders to meet carrier pickup requirements and keep fulfillment records organized.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. This API Call to generate the collection form.

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?

With no annotations, the description carries the full burden of behavioral disclosure. It offers one notable behavioral clue — the operation 'runs in your Kuudo deployment, not here' — which suggests it is not executed in the current environment. However, it does not disclose side effects, return values, prerequisites, authentication needs, or what 'generate the collection form' actually does beyond its name.

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 short and mostly free of filler, but it is not well structured: the actual purpose appears only in the third sentence, and 'Catalog entry' plus 'Runs in your Kuudo deployment, not here' are redundant ways of indicating environment context. The grammar is also awkward ('This API Call to generate...'), which reduces clarity.

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 zero-parameter operation with no output schema and no annotations, the description should still explain the expected effect and result. It only vaguely says it generates a collection form and runs elsewhere. There is no mention of how the output is returned, how it relates to Shipping_getCollectionForm, or what an agent should do after calling it. The overall picture is incomplete.

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 zero parameters and the schema description coverage is 100%, so there are no parameter semantics for the description to clarify. The baseline for zero-parameter tools is 4, and nothing in the description or schema creates a need for additional parameter explanation.

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 identifies a specific action — 'generate the collection form' — which is clear enough as a verb+resource pairing. It does not explicitly distinguish this from the sibling Shipping_getCollectionForm, but 'generate' versus 'get' offers an implicit contrast. The phrase 'Catalog entry' adds ambiguity about whether this is a directly callable operation, which keeps it from a 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?

There is no guidance about when to use this tool versus siblings like Shipping_getCollectionForm or Shipping_getCollectionFormHistory. The statement 'Runs in your Kuudo deployment, not here' hints at a deployment context but does not clarify when an agent should invoke this operation or what conditions trigger it. 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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