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KuudoAI

Amazon Selling Central MCP

by KuudoAI

Fees_getMyFeesEstimates

Estimate Amazon selling fees for a list of products. Provide product details to receive fee estimates, helping you calculate costs and make informed pricing decisions.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Returns the estimated fees for a list of products.

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

B3/5.0
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 reveals that the operation runs in a remote Kuundo deployment and that it returns fee estimates, but it does not explain what 'Catalog entry' means, whether the agent can actually invoke it, what side effects or prerequisites exist, or what the response looks like. This is too little context for a tool with zero annotation coverage.

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 brief and the functional sentence is direct. However, the first sentence fragment 'Catalog entry' is vague, and 'Runs in your Kuundo deployment, not here' is ambiguous enough that it does not clearly earn its place.

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 the absence of annotations, an empty input schema, and no output schema, the description needs to cover request format, return value, and execution context. It only vaguely addresses the request concept and leaves the invocation contract almost entirely unspecified. An agent would struggle to call this tool correctly based on this description alone.

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

Parameters3/5

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

The input schema is empty but allows additionalProperties, so the description must compensate by explaining the intended payload. It mentions a 'list of products' but gives no parameter names, structure, or formatting details for that list. Because schema coverage is technically 100% for an empty schema, the baseline is 3, and the description provides only minimal extra semantics.

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 the verb 'Returns' and the resource 'estimated fees for a list of products,' making the core operation identifiable. The plural 'list' distinguishes it in scope from the sibling tools Fees_getMyFeesEstimateForASIN and Fees_getMyFeesEstimateForSKU, though it does not name them explicitly. The opening 'Catalog entry' fragment 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for a list of products' implies this tool is for bulk fee estimation, while the ASIN/SKU siblings are implied to be for single-item lookups. However, the description never explicitly states when to choose this tool over those alternatives or provides exclusions. The caveat 'Runs in your Kuundo deployment, not here' gives a location note but not actionable selection guidance.

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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