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dgallitelli

SageMaker AI MCP Server

by dgallitelli

create_presigned_notebook_instance_url_sagemaker

Generate a presigned URL to securely access an Amazon SageMaker Notebook Instance, with configurable session expiration.

Instructions

Create a presigned URL for a SageMaker Notebook Instance

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_instance_nameYesThe name of the SageMaker Notebook Instance
session_expiration_duration_in_secondsNoThe expiration time for the presigned URL in seconds

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. It only says 'Create a presigned URL' without disclosing any side effects, authentication requirements, or behavior such as whether the notebook instance must be in a specific state. This is a thin description for an operation that presumably generates a time-limited URL.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that immediately conveys the tool's purpose. There is no redundant or filler text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low complexity (2 parameters, no nested objects) and the presence of an output schema, the description is mostly complete. However, it does not mention any usage context, such as the fact that the notebook instance must exist or that the URL is for accessing the notebook instance UI. Still, the essential operation is clear.

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% since both parameters have descriptions in the schema. The tool description does not add any semantic meaning beyond what the schema already provides, 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.

Purpose5/5

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

The description clearly states 'Create a presigned URL for a SageMaker Notebook Instance', using a specific verb and resource. It distinguishes itself from sibling tools like create_presigned_url_for_mlflow_tracking_server_sagemaker and create_presigned_url_for_domain_sagemaker by naming 'Notebook Instance'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage guidance is implicit through the resource name and the presence of sibling presigned URL tools for other AWS SageMaker resources. However, there is no explicit statement about when to use this tool versus the MLflow or Domain presigned URL tools, nor any mention of prerequisites or alternatives.

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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