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dgallitelli

SageMaker AI MCP Server

by dgallitelli

list_apps_sagemaker

Lists all SageMaker apps in your AWS account, providing an overview of active applications for monitoring and management.

Instructions

List all SageMaker Apps

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 implies a safe read operation but does not disclose pagination behavior, response size, permissions needed, or any other operational characteristics beyond the basic listing action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, 'List all SageMaker Apps', with no filler words. It is front-loaded and directly states the operation, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read tool with an output schema, the description is minimally sufficient. It states the tool's purpose, and the output schema handles return details. However, it could benefit from noting any scoping (e.g., account-level, pagination), though it remains adequate for a simple listing operation.

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 parameters, so there is nothing to describe. The baseline for zero-parameter tools is 4, and the description correctly does not attempt to add unnecessary parameter details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('List') and resource ('SageMaker Apps'), clearly indicating a read-only enumeration operation. It distinguishes itself from siblings like create_app_sagemaker, describe_app_sagemaker, and delete_app_sagemaker by focusing on listing all apps.

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 explicit guidance on when to use this tool versus alternatives, nor does it mention prerequisites, exclusions, or alternative tools. The usage context must be inferred solely from the tool name and sibling list, which is minimal.

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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