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dgallitelli

SageMaker AI MCP Server

by dgallitelli

list_training_jobs_sagemaker

List SageMaker training jobs to view their names, statuses, and creation times for monitoring and management.

Instructions

List SageMaker Training Jobs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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. The verb 'List' implies a read-only operation, but no details about pagination, ordering, filtering, rate limits, or what exactly is returned are disclosed. The output schema exists but the description does not reference it or any behavioral caveats.

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 with no wasted words. It is front-loaded with the action and resource. Every word earns its place.

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?

The tool is simple with no parameters and an output schema, so the description needn't explain return values. However, it lacks usage guidelines and behavioral details like pagination or filtering, which are important for a list operation. It is minimally viable but not fully complete for an AI agent to make informed selection decisions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters, and the input schema is empty. Per guidelines, baseline for 0 params is 4. The description does not need to explain parameters because there are none, and no parameter information is missing.

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 clearly states the verb 'List' and the resource 'SageMaker Training Jobs', which distinguishes it from sibling tools like list_processing_jobs and describe_training_job. However, it lacks any scoping qualifiers (e.g., 'all', 'filtered by...') that would make it fully unambiguous across variations of listing behavior.

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?

No guidance is provided about when to use this tool versus alternatives. There is no mention of alternatives or conditions under which this tool is appropriate. The usage is only implied by the name and description, but not explicitly stated.

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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