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dgallitelli

SageMaker AI MCP Server

by dgallitelli

stop_processing_job_sagemaker

Stop an active SageMaker Processing Job by providing its job name to halt processing and avoid unnecessary costs.

Instructions

Stop a SageMaker Processing Job

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
processing_job_nameYesThe name of the SageMaker Processing Job to stop

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 must carry the burden of disclosing behavioral traits. It does not mention consequences like irreversibility, prerequisites such as the job being InProgress, or whether the stop is asynchronous, offering only a restatement of the action.

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, front-loaded sentence with no redundant words. It is concise and appropriately sized for a simple stop operation.

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 one-parameter command with an output schema present, the description is minimally adequate for basic invocation. However, missing context about state requirements and side effects prevents 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?

The input schema has 100% coverage with a clear description for the single parameter 'processing_job_name'. The tool description adds no extra semantic detail beyond the schema, so the baseline score of 3 is appropriate.

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 uses the specific verb 'Stop' and names the resource 'SageMaker Processing Job', making the tool's purpose unambiguous. It distinguishes from sibling stop tools like stop_training_job and stop_transform_job.

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 checking job status with describe_processing_job or finding job names with list_processing_jobs, leaving usage entirely implicit.

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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