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SageMaker AI MCP Server

by dgallitelli

describe_app_image_config_sagemaker

Retrieve the configuration details of a SageMaker App Image Config by specifying its name. Access settings for apps in Amazon SageMaker AI.

Instructions

Describe a SageMaker App Image Config

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_image_config_nameYesThe name of the SageMaker App Image Config to describe

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 of behavioral disclosure. The description only says 'Describe', which implies a read operation, but it does not explicitly state that the operation is non-destructive, does not clarify whether it requires specific permissions, or mention any error conditions. This is a minimal disclosure.

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, front-loaded sentence with no wasted words. For a simple describe tool with one parameter, this length is appropriate. However, it is somewhat sparse, providing only the minimum information.

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?

This is a simple tool with one required parameter and an output schema present, so the description need not explain return values. However, with no annotations and no usage context, the description is only minimally viable. It lacks any clarification on when to use this tool relative to sibling describe tools or any additional behavioral context, making it adequate but not comprehensive.

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 description coverage is 100%, meaning the only parameter (app_image_config_name) already has a clear description in the schema. The tool description adds no additional meaning beyond what the schema provides, so the baseline score of 3 applies.

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 'Describe a SageMaker App Image Config' clearly states the verb (Describe) and the resource (SageMaker App Image Config). It is specific enough to indicate the tool's function, though it does not differentiate from sibling describe tools beyond the resource name, which is already evident from the tool name.

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, such as list_apps or describe_app. There is no mention of prerequisites, context, or exclusions. The agent is left to infer usage solely from the tool name and schema.

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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