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dgallitelli

SageMaker AI MCP Server

by dgallitelli

list_domains_sagemaker

List all SageMaker domains in your AWS account to audit and manage your SageMaker AI resources.

Instructions

List all SageMaker Domains

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 must disclose behavioral traits on its own. It only states the action 'List', which implies a read-only operation, but does not mention pagination, result size limits, ordering, or any other operational behavior. This is a minimal disclosure that adds little beyond the tool name.

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 exactly four words, 'List all SageMaker Domains', and every word contributes meaning. It is front-loaded with a clear action and resource, and contains no redundant or filler content.

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

Completeness3/5

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

Given the tool has no parameters and an output schema exists, the description is minimally adequate. However, it lacks any context about pagination, response format, or how it differs from the many related SageMaker list tools, which means the agent may not have enough information to fully understand the operation's behavior. It is a viable baseline but has clear gaps.

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 for the description to explain. The word 'all' in the description confirms that the operation returns every SageMaker Domain without filtering, which is a useful semantic clarification consistent with the empty schema. This aligns with the baseline for zero-parameter tools.

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 'List all SageMaker Domains' uses a specific verb ('List') and a clear resource ('SageMaker Domains'), and the word 'all' indicates the full scope, distinguishing it from single-domain operations like describe_domain_sagemaker or delete_domain_sagemaker. This is clear and unambiguous.

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 its many siblings (e.g., describe_domain_sagemaker, list_user_profiles_sagemaker, list_spaces_sagemaker). There is no mention of prerequisites, filtering alternatives, or typical use cases, leaving the agent to infer applicability solely from the name.

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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