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SageMaker AI MCP Server

by dgallitelli

describe_pipeline_definition_for_execution_sagemaker

Retrieve the SageMaker pipeline definition for a specific pipeline execution ARN to view the pipeline steps and configuration.

Instructions

Describe Pipeline Definition for a SageMaker Pipeline Execution

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipeline_execution_arnYesThe ARN of the SageMaker Pipeline Execution to describe definition for

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. It only says 'Describe', which implies a read-only operation, but it does not state whether permissions are needed, whether the definition is the original template or processed version, or any limitations such as size or availability. This is a significant gap for a tool with zero annotation support.

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

Conciseness2/5

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

The description is a single sentence that essentially restates the tool name without adding new information. While it is brief, it is under-specified rather than concise; it does not earn its place by providing any value beyond the name. There is no structure or additional context.

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

Completeness2/5

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

Given the tool's simplicity (one parameter) and presence of an output schema, the description might be minimally acceptable. However, it lacks any contextual information about when to use this over sibling tools, such as describe_pipeline_execution_sagemaker or describe_pipeline_sagemaker. The absence of usage guidelines and behavioral details makes it incomplete for an agent to confidently select this tool.

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 one parameter (pipeline_execution_arn) with 100% description coverage, so the schema already fully documents the parameter. The description adds no extra meaning, such as format constraints or prerequisites for the ARN. Baseline of 3 is appropriate because schema coverage is high.

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 'Describe Pipeline Definition for a SageMaker Pipeline Execution' clearly states the action (describe) and the specific resource (pipeline definition for an execution). It distinguishes from siblings like describe_pipeline_execution_sagemaker by focusing on the definition rather than the execution status. However, it does not explicitly differentiate from describe_pipeline_sagemaker, which could be ambiguous without deeper inference.

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?

There is no guidance on when to use this tool versus alternatives. For example, it does not mention that this tool returns the underlying template/definition, while describe_pipeline_execution_sagemaker returns runtime details. The description provides no exclusions or alternative references, so the agent is left without decision support.

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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