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KuudoAI

Amazon Selling Central MCP

by KuudoAI

Replenishment_getSellingPartnerMetrics

Retrieve aggregated replenishment program metrics for a selling partner to evaluate performance and guide restocking decisions.

Instructions

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

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

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does add some value by stating that the operation runs in the Kuudo deployment rather than locally and that it returns metrics. However, it omits auth requirements, output shape, and any side-effect or data-scope details, leaving significant behavioral information undisclosed.

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 contains no redundant elaboration. It front-loads the deployment caveat and then states the return behavior. The phrase 'Catalog entry' is vague and adds little value, but overall the structure is appropriately compact.

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?

Even with zero parameters, the description is thin for a tool with no output schema and no annotations. 'Aggregated replenishment program metrics' does not specify what metrics are actually returned, and the terms 'Catalog entry' and 'Kuudo deployment' are left unexplained. An agent also cannot tell how this differs from the 20221107 sibling, so the definition is not fully complete for correct selection and invocation.

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 has zero properties and 100% schema description coverage, so there are no parameter semantics for the description to supplement. The baseline of 4 applies because no parameters exist; the description does not need to add parameter-level detail.

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 concrete verb ('Returns') and resource ('aggregated replenishment program metrics for a selling partner'), so an agent can tell what the tool does at a high level. However, it does not distinguish this tool from the sibling Replenishment20221107_getSellingPartnerMetrics or from Replenishment_listOfferMetrics/listOffers, and 'Catalog entry' adds ambiguity.

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 description provides no guidance on when to choose this tool over alternatives. It does not mention that Replenishment20221107_getSellingPartnerMetrics is a versioned counterpart or that listOfferMetrics/listOffers cover different scopes. The only contextual statement, 'Runs in your Kuudo deployment, not here', is about deployment location, 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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