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Glama
KuudoAI

Amazon Selling Central MCP

by KuudoAI

CustomerFeedback_getBrowseNodeReviewTopics

Retrieve a browse node's ten most positive and ten most negative review topics to reveal customer sentiment and guide product improvements.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Retrieve a browse node'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

B3.3/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral disclosure; it states the return content and an important execution-environment caveat. However, 'Catalog entry' is ambiguous and it does not clarify whether the operation is actually invocable, what input is needed, or any read/side-effect guarantees.

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 and mostly no-filler, with each sentence adding some information. The main action is placed after the two caveat sentences rather than front-loaded, and 'Catalog entry' is somewhat opaque, preventing a 5.

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 low-complexity retrieval tool with no output schema, the core result is described clearly. Yet the deployment caveat plus missing input semantics leaves an agent unsure whether and how to invoke it in the current environment, so completeness is only adequate.

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 schema has zero declared parameters, so there is little parameter semantics for the description to add; baseline 4 applies. The phrase 'a browse node's' implies an identifier is needed but never says how to provide it, which is a minor gap against the empty schema.

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 clear resource (browse node review topics) and exact output (ten most positive and ten most negative), so an agent can tell this is a review-topic retrieval operation. It does not explicitly contrast with sibling tools like getBrowseNodeReviewTrends or getItemReviewTopics, so it falls just short of full differentiation.

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 given about when to prefer this over CustomerFeedback_getItemReviewTopics or getBrowseNodeReviewTrends. The only context is deployment-related ('Runs in your Kuudo deployment, not here'), which is not a selection rule among the alternatives.

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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