stop_training_job_sagemaker

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It only states that it stops a job, without mentioning side effects, reversibility, permissions, or behavior for already-stopped jobs. This is a limiting factor for a mutation operation.

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

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

A single, complete sentence that is front-loaded with the action and resource. Every word is useful, with no redundancy or unnecessary detail.

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

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

Given the low complexity (one parameter and an output schema), the description is minimally adequate. However, it omits any context about the operation's effects, such as whether the job is terminated immediately or if the request can be retried. No annotations exist to cover these aspects.

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

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

Schema coverage is 100%, with the parameter 'training_job_name' clearly described in the schema. The description adds no additional meaning beyond the schema, but since the schema fully documents the single parameter, 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.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly specifies the verb 'Stop' and the resource 'SageMaker Training Job', which is specific and unambiguous. While it doesn't explicitly differentiate from sibling stop tools, the resource type is distinct and the intent is clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 prerequisites, scenarios, or exclusions, leaving the agent to infer usage solely from the tool name. Sibling tools like stop_processing_job_sagemaker would require similar inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.