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KuudoAI

Amazon Selling Central MCP

by KuudoAI

CustomerFeedback_getBrowseNodeReturnTrends

Retrieve customer return topic trends for a browse node to understand why items are returned and take corrective action.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Retrieve the trends of topics that customers mention when they return items in a browse node.

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
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does add meaningful context by noting this is a catalog entry that runs in the Kuudo deployment, not in the current environment, and 'Retrieve' implies a read-only operation. However, it does not describe output format, pagination, time range, or access requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short with no filler, using two sentences to convey purpose and deployment context. The fragment 'Catalog entry.' and the placement of the environment note before the actual purpose are slightly awkward, but the text remains compact and readable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read-style tool, the description conveys the core result: trends of return-related topics for a browse node. Yet it lacks detail about return value structure, how the browse node is identified, and how this tool relates to closely named siblings, leaving the agent with only a minimal catalog-style understanding.

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 tool has zero schema-defined parameters and schema description coverage is effectively 100%, so there is little for the description to add. The mention of 'browse node' gives conceptual context about the data scope, though it does not introduce a named parameter, which aligns with the baseline for a zero-parameter tool.

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 states a specific verb, 'Retrieve', and a specific object: 'trends of topics that customers mention when they return items in a browse node.' This clearly distinguishes the tool from sibling tools focused on review topics, review trends, or item-level data, even without naming them explicitly.

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 on when to choose this tool over closely related siblings such as CustomerFeedback_getBrowseNodeReturnTopics, getBrowseNodeReviewTrends, or getItemReviewTrends. The only operational note, 'Runs in your Kuudo deployment, not here,' addresses environment rather than alternative selection.

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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