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KuudoAI

Amazon Selling Central MCP

by KuudoAI

ProductPricing20220501_getFeaturedOfferExpectedPriceBatch

Retrieve featured offer expected prices for up to 40 ASINs in a single batch request, providing competitive pricing insights for your Amazon catalog.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Returns the set of responses that correspond to the batched list of up to 40 requests defined in the request body.

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

C2.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does mention a batch limit of 40 and the deployment context, but it does not disclose whether the operation is read-only, what side effects may occur, what permissions are needed, or how failures in a batch are represented.

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 short and not verbose, but the first sentence 'Catalog entry.' is essentially filler. Front-loading the deployment caveat before the behavior also buries the most actionable information.

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?

For an empty input schema and no output schema, the description needs to explain how to construct the batch request and what kind of responses to expect. It only says 'up to 40 requests defined in the request body' without describing request format, domain semantics, or response structure, leaving an agent under-equipped to call it correctly.

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 is empty except for additionalProperties, so the description's mention of a request body containing up to 40 batch requests is the only real parameter guidance. This adds meaningful context beyond the schema, though it still does not define the structure of an individual request.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says the tool returns a set of responses for a batched list of up to 40 requests, which gives a general sense of a batch operation. However, it never explains what the requests or responses are about beyond the tool name, and the opening 'Catalog entry' is uninformative. It also does not distinguish this batch tool from sibling batch tools like ProductPricing_getItemOffersBatch.

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 only usage-oriented signal is the warning that it runs in the user's Kuudo deployment rather than in the current environment. There is no guidance on when to choose this tool over alternatives, no exclusions, and no explanation of the intended request-body shape.

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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