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KuudoAI

Amazon Selling Central MCP

by KuudoAI

FbaInventory_addInventory

Add items to Amazon Sandbox Inventory with a specified quantity for testing and validation in the sandbox environment.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Requests that Amazon add items to the Sandbox Inventory with desired amount of quantity in the sandbox environment.

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

C2.4/5.0
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 does mention the sandbox scope and that the tool makes a request, but it omits side effects, permissions, idempotency, and what happens after the request. The phrase 'Runs in your Kuudo deployment, not here' could also mislead an agent about whether invocation is possible in the current environment.

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 bloated, but the first two sentences are ambiguous ('Catalog entry' and 'Runs in your Kuudo deployment, not here'), and the third sentence repeats the sandbox concept twice. It is concise but not well-structured for agent comprehension.

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?

This is a mutating operation with no annotations, no output schema, and an empty input schema. The description does not explain how to specify the quantity, what the response will be, or whether the tool is actually callable here. An agent is left with too many unresolved questions to invoke it correctly.

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

Parameters2/5

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

The input schema exposes zero properties, yet the description refers to 'desired amount of quantity' without saying how that quantity should be supplied. With additionalProperties: true, arbitrary input is allowed, but the description does not provide the parameter names, shapes, or formats needed to call the tool correctly.

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 names a verb and target: it 'Requests that Amazon add items to the Sandbox Inventory.' However, the opening phrases 'Catalog entry' and 'Runs in your Kuudo deployment, not here' make it unclear whether this tool actually executes when called, and it does not distinguish itself from sibling tools like FbaInventory_createInventoryItem.

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 about when to use this tool versus alternatives such as FbaInventory_createInventoryItem or FbaInventory_getInventorySummaries. The only contextual clue is the deployment location, which is not a clear usage condition.

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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