Skip to main content
Glama
dgallitelli

SageMaker AI MCP Server

by dgallitelli

describe_endpoint_config_sagemaker

Describe a SageMaker endpoint configuration by name to retrieve its production variants, instance types, and traffic settings. Useful for viewing or debugging endpoint configurations.

Instructions

Describe a SageMaker Endpoint Configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpoint_config_nameYesThe name of the SageMaker Endpoint Configuration 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 full burden for behavioral disclosure. 'Describe' implies a read-only operation, but the description does not explicitly state non-mutation, permissions, or what happens with invalid inputs. It adds no behavioral context beyond the verb.

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 filler words. It is efficient and easy to parse, though it could be slightly more informative without becoming verbose.

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?

For a simple describe operation with one parameter and an output schema, the description is minimally viable. However, it lacks any context about what an endpoint configuration is or how this differs from other describe tools, and the output schema is not referenced. It is adequate but leaves room for improvement.

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?

The input schema has 100% description coverage for the single parameter 'endpoint_config_name', with a clear description. The tool description adds no parameter information beyond the schema, 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 clearly states the action ('Describe') and the resource ('a SageMaker Endpoint Configuration'), using a specific verb and resource. However, it does not distinguish this from sibling describe tools like describe_endpoint_sagemaker, so it stops short of full sibling differentiation.

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?

There is no guidance on when to use this tool vs alternatives, no exclusions, and no mention of prerequisites. The one-sentence description leaves the agent to infer usage from the name alone.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dgallitelli/sagemaker-ai-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server