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dgallitelli

SageMaker AI MCP Server

by dgallitelli

list_pipeline_executions_sagemaker

Retrieve all execution runs for a specified SageMaker Pipeline. Provide the pipeline name to get a list of its executions.

Instructions

List all Pipeline Executions for a SageMaker Pipeline

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipeline_nameYesThe name of the SageMaker Pipeline to list executions for

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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 clearly states this is a list operation (implying read-only) and scopes to all executions for a pipeline, but it does not disclose pagination, result limits, ordering, or any other relevant behavioral traits. This is adequate for a simple list tool but lacks deeper context.

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, clear sentence that directly states the tool's purpose. No filler or redundant wording, making it highly concise and efficient.

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?

Given the tool's simplicity (one required parameter, output schema present), the description is nearly complete. It fully explains the operation without needing to mention return values due to the output schema. However, it lacks any usage context or caveats, which keeps it from a perfect score.

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?

Schema description coverage is 100%, so the pipeline_name parameter is fully described in the schema. The tool description adds no additional meaning beyond the schema, matching the baseline of 3 for high coverage.

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 Pipeline Executions for a SageMaker Pipeline' uses a specific verb and resource, clearly distinguishing this from sibling tools like list_pipeline_execution_steps_sagemaker or describe_pipeline_execution_sagemaker. It states exactly what is listed and for which resource.

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 such as describe_pipeline_execution_sagemaker or list_pipeline_execution_steps_sagemaker. There is no mention of when-not-to-use or which sibling is better for a particular scenario.

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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