Skip to main content
Glama
dgallitelli

SageMaker AI MCP Server

by dgallitelli

create_presigned_url_for_mlflow_tracking_server_sagemaker

Generate a temporary presigned URL for a SageMaker Managed MLflow Tracking Server with configurable expiration for secure access.

Instructions

Create a presigned URL for a Managed MLflow Tracking Server in SageMaker

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expiration_secondsYesThe number of seconds the presigned URL should be valid for
tracking_server_nameYesThe name of the MLflow Tracking Server to create a presigned URL for

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, and the description does not disclose any behavioral traits such as whether this is a read-only operation, required permissions, or lifecycle of the URL. It simply restates the action.

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, clear sentence with no unnecessary words. However, it only covers the basic purpose and lacks any additional contextual information, so it gets a 4.

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?

Given the simple tool with full schema coverage and an output schema, the description covers the basic purpose but omits usage context and behavioral details. For a tool with no annotations, this leaves gaps in completeness, so a 3 is appropriate.

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 already describes both parameters (expiration_seconds and tracking_server_name) with 100% coverage, so the description adds no additional parameter semantics beyond what the schema provides. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

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

The description clearly states the action (Create) and the specific resource (presigned URL for a Managed MLflow Tracking Server in SageMaker), distinguishing it from sibling presigned URL tools for domains and notebook instances.

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 guidance is provided on when to use this tool versus alternatives, prerequisites, or use cases. It only states the operation without any contextual direction.

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