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dgallitelli

SageMaker AI MCP Server

by dgallitelli

delete_pipeline_sagemaker

Remove an Amazon SageMaker pipeline by specifying its name to clean up unused resources and reduce costs.

Instructions

Delete a SageMaker Pipeline

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipeline_nameYesThe name of the SageMaker Pipeline to delete

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 says 'Delete a SageMaker Pipeline' without revealing consequences like permanence, cascading deletions, or permission requirements. It adds no context beyond what the tool name already implies.

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 extremely concise at four words, and every word is meaningful. It is front-loaded with the verb 'Delete' and clearly identifies the resource. However, it lacks any structural elements like warnings or usage notes, which keeps it from a perfect score.

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?

Even though the tool is simple and the schema covers the only parameter, the description omits crucial context for a destructive operation. No mention of irreversibility, what happens to associated resources, or any caveats. The presence of an output schema reduces the need to describe return values, but the overall description is too sparse to be fully useful.

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 the parameter 'pipeline_name' clearly described as 'The name of the SageMaker Pipeline to delete.' The description adds no additional parameter semantics beyond the schema, which already fully documents the required parameter.

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 'Delete a SageMaker Pipeline' uses a specific verb (delete) and resource (SageMaker Pipeline), clearly distinguishing it from sibling tools like describe_pipeline_sagemaker, list_pipelines_sagemaker, and start_pipeline_execution_sagemaker. It unambiguously states the tool's function.

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, no prerequisites (e.g., pipeline must exist), and no mention of whether deletion is reversible. It simply restates the action without any contextual usage advice.

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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