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KuudoAI

Amazon Selling Central MCP

by KuudoAI

AplusContent_listContentDocumentAsinRelations

Retrieve a list of ASINs related to a specific A+ Content document to identify associated product listings.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Returns a list of ASINs that are related to the specified A+ Content document, if available.

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

B3/5.0
Behavior2/5

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

There are no annotations and no output schema, so the description carries the full disclosure burden. It says the tool 'Returns a list' and warns 'not here,' but it does not explain side effects, permissions, failure behavior, pagination, or the operational meaning of 'Catalog entry' or 'Kuudo deployment.' The behavior is only minimally disclosed.

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 has no filler, which is good. However, the most informative clause appears last, and the opening 'Catalog entry' plus the Kuudo disclaimer are not front-loaded as purpose. The brevity helps, but the structure does not lead with the tool's actual behavior.

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, no annotations, and no output schema, the description should fully contextualize invocation and return semantics. It provides an environment caveat and a general idea of the result, but leaves the required document identifier unspecified, the 'Kuudo' environment unexplained, and response/error details absent. An agent cannot confidently invoke this tool from the definition alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero properties and allows additionalProperties, so the schema itself gives the agent no way to identify the 'specified A+ Content document.' The description adds the domain concept that a document is specified and that results are conditional, but it never names or formats that input. This gap prevents a 4 despite the zero-parameter baseline.

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 names a concrete operation: returning related ASINs for a specified A+ Content document, with an 'if available' condition. This is distinguishable from sibling A+ content mutation or search operations. However, the unexplained 'Catalog entry' and 'Kuudo deployment' phrases muddy the statement, so it is not 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 Guidelines3/5

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

The 'Runs in your Kuudo deployment, not here' clause gives some environment context and implies this tool may not be directly invocable, and 'if available' suggests a condition on use. But it does not say when to prefer this over sibling A+ tools such as searchContentDocuments or postContentDocumentAsinRelations, and it provides no explicit alternatives. The usage guidance is implied, not precise.

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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