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KuudoAI

Amazon Selling Central MCP

by KuudoAI

FulfillmentOutbound_createFulfillmentReturn

Create a fulfillment return for an Amazon FBA outbound order to process customer returns and update inventory.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Creates a fulfillment return.

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 only adds the vague statements 'Catalog entry' and 'Runs in your Kuudo deployment, not here,' which are not fully explained. It does not disclose side effects, permissions, whether the operation is synchronous, what happens on success, or why it does not run in the current environment.

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, but it is not well front-loaded: the core purpose 'Creates a fulfillment return' is placed last, after the meta-commentary 'Catalog entry' and the context statement. 'Catalog entry' is arguably redundant and could be omitted, making the structure less efficient than it could be.

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?

The description leaves a critical ambiguity: if the tool 'Runs in your Kuudo deployment, not here,' it is unclear whether an agent should invoke it at all, and if not, what it should do instead. It also provides no information about prerequisites, expected inputs despite additionalProperties, or return behavior. Even with low complexity, the execution-context statement needs elaboration to be actionable.

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 documented parameters and 100% schema description coverage, so the baseline is 4. The description adds no parameter details, but none are needed for the documented schema. The additionalProperties: true flag creates mild uncertainty, yet it does not lower the score significantly because there are no formal parameters to describe.

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: 'Creates a fulfillment return.' The name confirms this. However, the opening 'Catalog entry' and 'Runs in your Kuudo deployment, not here' introduce ambiguity about whether this is a real callable operation, which slightly blurs the stated 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?

No guidance is provided on when to use this tool versus alternatives. The description says it 'Runs in your Kuudo deployment, not here,' which hints at a different execution context, but it does not explain selection criteria, exclusions, or how it relates to sibling tools such as FulfillmentOutbound_cancelFulfillmentOrder or ExternalFulfillmentReturns_getReturn.

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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