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KuudoAI

Amazon Selling Central MCP

by KuudoAI

ProductPricing_getListingOffersBatch

Retrieve the lowest priced offers for a batch of listings by SKU to compare competitive pricing across multiple products in one call.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Returns the lowest priced offers for a batch of listings by SKU.

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

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose the return concept ('lowest priced offers'), the batch scope, and the unusual runtime context ('Runs in your Kuudo deployment, not here'). But it omits side effects, auth needs, rate limits, batch limits, or what 'not here' means operationally, so transparency is only partial.

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 brief, but the 'Catalog entry' sentence contributes no useful information and makes the structure feel like a truncated auto-generated label. The core return statement is clear, but not every sentence earns its place.

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 input schema with additionalProperties true and no output schema, the description should explain how to specify the SKU batch and what the response will look like. It only says 'by SKU' and 'returns offers,' leaving the agent to guess the actual request shape and response structure.

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 parameters with additionalProperties true, so the 0-parameter baseline of 4 applies. The description adds the relevant semantic concept 'by SKU,' which is helpful even though it does not specify payload formatting.

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 specific action and resource: 'Returns the lowest priced offers for a batch of listings by SKU.' This clearly communicates the tool's core purpose and the 'batch' wording distinguishes it from the singular ProductPricing_getListingOffers. However, the opening 'Catalog entry' fragment is vague and does no work, 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 Guidelines2/5

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

The phrase 'Runs in your Kuudo deployment, not here' hints at an execution environment, but it does not explain when to choose this tool over alternatives such as ProductPricing_getItemOffersBatch or ProductPricing_getListingOffers. There is no explicit when-to-use, when-not-to-use, or alternative-selection guidance.

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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