stop_inference_recommendations_job_sagemaker

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. It states the action 'Stop' but does not explain side effects (e.g., whether the job is terminated immediately, if it's reversible, or if any resources are cleaned up). This is minimal and lacks the transparency expected for a mutation tool.

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?

The description is one concise sentence that is front-loaded with the action and resource. No unnecessary words or fluff. For a simple single-parameter tool, this is appropriately sized and structured.

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?

The tool is simple (one param, full schema coverage, output schema present), so the description is minimally adequate for invocation. However, it lacks any behavioral context or usage guidance, which leaves it incomplete in a broader sense. Given the low complexity, a score of 3 reflects that it is adequate but with clear gaps.

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?

The schema already provides a clear description for the single parameter ('The name of the SageMaker Inference Recommender Job to stop'), and coverage is 100%. The tool description adds no further meaning beyond what the schema states, 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.

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

The description clearly states the action ('Stop') and the specific resource ('a SageMaker Inference Recommender Job'). This distinguishes it from sibling stop_* tools that target different resources (e.g., stop_training_job_sagemaker). The verb+resource structure leaves no ambiguity about what the tool does.

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 (e.g., job must be in a stoppable state), nor does it contrast with other stop tools. Usage is only implied by the name/description, which does not meet the bar for explicit or even adequate contextual guidance.

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