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dgallitelli

SageMaker AI MCP Server

by dgallitelli

list_pipeline_parameters_for_execution_sagemaker

List parameters for a specified SageMaker Pipeline Execution using its ARN to view configuration details.

Instructions

List Pipeline Parameters for a SageMaker Pipeline Execution

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipeline_execution_arnYesThe ARN of the SageMaker Pipeline Execution to list parameters for

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 merely restates the action (listing parameters) without clarifying that it is a read-only operation, describing output behavior, or mentioning permissions. It adds minimal context 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 a single, concise sentence that front-loads the action and resource. Every word earns its place, with no filler or redundancy.

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 simple one-parameter list operation with an output schema present, the description provides sufficient context about what the tool does. It is not as rich as tools with usage guidance, but it is complete enough for the tool's simplicity.

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 has 100% coverage with a clear description for the single parameter pipeline_execution_arn. The tool description adds no additional meaning beyond what the schema already provides, so the baseline of 3 is appropriate.

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 uses the specific verb 'List' and names the resource 'Pipeline Parameters for a SageMaker Pipeline Execution', which distinguishes it from sibling tools like list_pipeline_executions or list_pipeline_execution_steps. It clearly states what the tool does, though it lacks an explicit contrast with alternatives.

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 alternatives. It does not mention any prerequisites, contextual triggers, or exclusions. The intended use is implied by the tool's name and description but not explicitly stated.

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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