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Amazon Selling Central MCP

Amazon Selling Central MCP

by KuudoAI
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

Replenishment20221107_listOfferMetrics

Get aggregated replenishment program metrics for a selling partner's offers to evaluate performance and inform replenishment decisions.

Instructions

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

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "Replenishment20221107_listOfferMetrics"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions the tool 'runs in your Kuudo deployment, not here', which is an unusual and potentially important execution constraint, but it does not clarify side effects, read-only safety, required permissions, data availability, or error behavior.

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 the opening 'Catalog entry' is cryptic and does not clearly earn its place. The core purpose sentence is front-loaded after that, though the overall structure is slightly disorganized and under-specified.

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 no annotations, no output schema, and no parameter schema details, the description leaves significant gaps. An agent cannot tell what inputs may actually be accepted, what the returned metrics look like, whether this tool is callable at all in the current environment, or how it relates to nearby Replenishment tools.

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 declared parameters, so the baseline is 4. The description adds no parameter-specific information, but that is acceptable because there are no documented parameters to explain. The odd 'additionalProperties: true' is not addressed, but the description isn't obligated to cover schema quirks when no parameters are defined.

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 clearly identifies the tool's core action: 'Returns aggregated replenishment program metrics for a selling partner's offers.' This names a specific verb and resource. However, it does not explicitly differentiate from sibling tools like Replenishment_listOffers or Replenishment_getSellingPartnerMetrics, so it misses the top tier.

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?

There is no guidance on when to choose this tool over its siblings. The phrase 'Runs in your Kuudo deployment, not here' hints at deployment context but does not explain the intended invocation scenario or conditions for use.

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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