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KuudoAI

Amazon Selling Central MCP

by KuudoAI

ProductPricing_getItemOffersBatch

Get lowest priced offers for a batch of ASINs in a single request. Simplify pricing analysis by retrieving competitive offer data for multiple items at once.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Returns the lowest priced offers for a batch of items based on ASIN.

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

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It reveals that the tool executes in a different environment and returns lowest-priced offers, but it does not disclose input requirements, response shape, pagination, or side effects. The phrase 'Catalog entry' adds ambiguity rather than behavioral clarity.

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 very short, but its structure is not ideal. 'Catalog entry' is a confusing opener that adds no value, and the most useful semantic content appears only in the second sentence. It is concise but not optimally front-loaded or fully purposeful.

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

Completeness1/5

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

For a batch pricing operation with no annotations, no declared parameters, and no output schema, the description is severely incomplete. It omits how to specify the batch, which marketplace or credentials are expected, response details, and any constraints or prerequisites. An agent cannot reliably invoke this tool based on the provided description alone.

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

Parameters2/5

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

The input schema is empty with additionalProperties true, so the description is the only source of parameter meaning. It vaguely indicates the operation involves a batch of items and ASINs, but it does not specify parameter names, formats, or how the batch is provided. This is not actionable enough for an agent to construct a correct request.

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?

Description states a clear action and resource: 'Returns the lowest priced offers for a batch of items based on ASIN.' This distinguishes it from listing-offer variants by emphasizing item-level offers, though it does not explicitly name sibling tools or contrast with them.

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 for when to use this tool versus alternatives such as ProductPricing_getItemOffers, ProductPricing_getListingOffersBatch, or ProductPricing_getCompetitivePricing. The only usage context is 'Runs in your Kuudo deployment, not here,' which is about environment, not selection criteria.

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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