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KuudoAI

Amazon Selling Central MCP

by KuudoAI

Replenishment_listOfferMetrics

Retrieves aggregated replenishment program metrics for a selling partner's offers, supporting performance analysis and restocking decisions.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Returns aggregated replenishment program metrics for a selling partner's offers.

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 behavioral burden. It does add operational context by calling this a catalog entry and stating it runs in a Kuudo deployment rather than here, and 'returns' implies a read-only operation. However, it omits details about authentication, side effects, data scope, and how the metrics are aggregated.

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 mostly efficient, but 'Catalog entry' and 'Runs in your Kuudo deployment, not here' partly overlap and the main purpose sentence is placed last. It is compact rather than optimally front-loaded.

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?

There is no output schema and no annotations, so the description should explain what the returned metrics contain and how this tool relates to the similarly named Replenishment20221107_listOfferMetrics. It does not provide enough context to disambiguate the version or the exact return shape, leaving a significant completeness gap.

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?

There are zero named or required parameters, so the schema is already exhaustive and the description has no parameter semantics to clarify. The empty schema with additionalProperties allowed creates no expectation that the description must explain arguments.

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 core statement 'Returns aggregated replenishment program metrics for a selling partner's offers' provides a clear verb, resource, and scope. It does not, however, differentiate this versionless tool from the sibling Replenishment20221107_listOfferMetrics or from Replenishment_listOffers, so it stops short of 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?

No guidance is given on when to prefer this tool over Replenishment20221107_listOfferMetrics or Replenishment_listOffers. 'Runs in your Kuudo deployment, not here' is a deployment constraint rather than a selection rule, so the agent is left without alternative-based direction.

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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