Skip to main content
Glama
KuudoAI

Amazon Selling Central MCP

by KuudoAI

CustomerFeedback_getItemReviewTopics

Retrieve an item's ten most positive and ten most negative review topics to identify what customers praise and complain about.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Retrieve an item's ten most positive and ten most negative review topics.

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

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the full disclosure burden. It adds meaningful behavioral context beyond the basics: the 'Runs in your Kuudo deployment, not here' deployment caveat and the precise 10+10 count of returned topics. However, it does not disclose whether review-topic data is restricted/protected, any authentication requirements, rate limits, or failure behavior, which is a notable gap for an unannotated tool.

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?

Three short sentences with no filler; the core retrieval statement is clear and the deployment caveat is paired with the catalog-entry label efficiently. The only slight weakness is the cryptic two-word fragment 'Catalog entry,' which adds limited value and feels like leftover labeling rather than useful guidance.

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 tool with zero declared parameters and no output schema, the description covers the value returned (ten positive and ten negative topics) and the runtime context, which is most of what an agent needs. But it leaves open how the item is identified despite additionalProperties: true, and says nothing about prerequisites, restricted-data handling, or error cases — gaps that matter more because there are no annotations or output schema to fill them.

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 properties but allows additionalProperties, so the only semantic guidance available is the description's reference to 'an item's,' which correctly signals the subject of the query. Per the baseline rule for zero-parameter tools, the description need not enumerate parameters, and it does add meaning beyond the empty schema by tying the operation to an item context.

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 names a specific verb and resource: 'Retrieve an item's ten most positive and ten most negative review topics.' It clearly states the output shape (ten positive, ten negative) and unambiguously distinguishes this tool from sibling CustomerFeedback tools like getBrowseNodeReviewTopics (browse-node scoped) and getItemReviewTrends (trends rather than topics).

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 scope word 'item' implies when to use this tool — for item-level review topics rather than browse-node-level ones — and the 'Runs in your Kuudo deployment, not here' note gives a mild environmental caveat. However, there is no explicit when-to-use/when-not-to-use guidance and no named alternative, leaving the agent to infer the routing from sibling names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/KuudoAI/amazon-selling-partner-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server