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dgallitelli

SageMaker AI MCP Server

by dgallitelli

describe_pipeline_sagemaker

Describe a SageMaker Pipeline by name to retrieve its structure, steps, and status. Useful for monitoring pipeline runs and troubleshooting failures.

Instructions

Describe a SageMaker Pipeline

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipeline_nameYesThe name of the SageMaker Pipeline to describe

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, but it only states the basic action. It does not mention that this is a read-only operation, what information it returns, or how it handles non-existent pipelines. This leaves the agent guessing about side effects and edge cases.

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

Conciseness4/5

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

The description is a single, concise sentence without any redundant wording. It is well-structured and front-loaded, stating the purpose immediately. It earns its place by being clear, though it could arguably include more useful context without sacrificing conciseness.

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 simplicity of the tool (one parameter, no annotations) and the presence of an output schema, the description is minimally adequate. It does not explain the tool's relationship to sibling tools or provide additional context about the pipeline resource being described. For a simple describe operation, this is sufficient but not comprehensive.

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 single parameter 'pipeline_name' is fully described in the input schema ('The name of the SageMaker Pipeline to describe'), so schema coverage is 100%. The description itself adds no additional semantic detail beyond the schema, which gives a baseline of 3 according to the rubric.

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 states a clear verb+resource: 'Describe a SageMaker Pipeline'. It identifies the tool's primary function. However, it does not distinguish itself from sibling tools like 'describe_pipeline_execution_sagemaker' or 'describe_pipeline_definition_for_execution_sagemaker', which also involve describing pipeline-related entities.

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 lacks any mention of prerequisites, exclusions, or situations where a different structure (e.g., describe_pipeline_execution_sagemaker) would be more appropriate.

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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