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dgallitelli

SageMaker AI MCP Server

by dgallitelli

describe_inference_recommendations_job_sagemaker

Fetch status, metrics, and recommendations for a SageMaker Inference Recommender Job by providing its name.

Instructions

Describe a SageMaker Inference Recommender Job

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_nameYesThe name of the SageMaker Inference Recommender Job to describe

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. It only states that the tool describes a job, offering no details about error handling, return structure, or any side effects. The separate output schema exists but the description itself adds no transparency.

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 a single sentence with no wasted words. It is efficient but offers little value beyond what the tool name already implies, edging it slightly below a perfect score.

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 one-parameter input and presence of an output schema cover the essential mechanics, so the description is minimally adequate. However, the absence of annotations and any usage context leaves gaps in fully understanding the tool's behavior and place among siblings.

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?

Schema coverage is 100% with a clear description for the single parameter 'job_name'. The tool description adds no extra meaning 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.

Purpose4/5

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

The description clearly states the action (describe) and the specific resource (a SageMaker Inference Recommender Job), distinguishing it from sibling describe tools for other resource types. It is unambiguous, though it lacks detail about what information is returned.

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 usage guidance is provided. The description does not mention when to use this tool versus the sibling list tool, nor does it provide any context on how to obtain the job name. It is purely a restatement of the action.

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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