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dgallitelli

SageMaker AI MCP Server

by dgallitelli

list_spaces_sagemaker

List all SageMaker Spaces, enabling you to see every ML environment in your account.

Instructions

List all SageMaker Spaces

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. 'List all SageMaker Spaces' implies a read-only enumeration and 'all' indicates no filtering, but it does not mention pagination, permissions, or other runtime behavior. It adds minimal context beyond what the tool name already communicates.

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 sentence, front-loaded with the action and resource, with no extraneous words or information. It is highly concise and properly 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 low-complexity, parameterless tool with an output schema, the description is mostly complete. However, it lacks any mention of pagination or service-level caveats that could affect usage, so it is not fully complete.

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 with 100% coverage, so there are no parameter semantics for the description to clarify. The use of 'all' reinforces the parameterless nature by suggesting no filtering options exist.

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 the specific verb 'List' and clearly identifies the target resource ('SageMaker Spaces'). The word 'all' clarifies scope, and the resource name distinguishes it from sibling tools like list_apps_sagemaker and list_domains_sagemaker.

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 use this tool versus the many sibling list_* tools, nor any context about prerequisites or typical use cases. This is a bare listing with no usage direction.

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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