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AWS Notebook Runner MCP

start_sagemaker_notebook_job

Start a SageMaker notebook job on AWS only after confirming cost approval with a token, ensuring policy compliance.

Instructions

Start paid SageMaker notebook execution only when policy and token allow it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
local_pathYes
job_nameYes
image_uriYes
confirmation_tokenYes
kernel_nameNopython3
instance_typeNo
max_runtime_secondsNo
parametersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 hints at authorization requirements but omits critical details such as cost implications, error behavior, or whether the action is destructive. The mention of 'paid' suggests cost but is not explicit.

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

Conciseness3/5

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

The description is a single concise sentence, but it is under-informative for a tool with 8 parameters. It could include more detail without becoming verbose, e.g., mentioning the need for prior planning or cost estimation.

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

Completeness2/5

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

Given the tool's complexity (8 parameters, 4 required, no schema descriptions, and an output schema) and the presence of related siblings, the description is incomplete. It does not explain return values, prerequisites, or how parameters like parameters or instance_type affect execution.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description should compensate by explaining parameters. However, it only mentions 'policy and token' (referencing confirmation_token) without describing any of the 8 parameters, including required ones like local_path and image_uri. The description adds no value beyond the schema's property names.

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 verb 'Start' and the resource 'paid SageMaker notebook execution', indicating the tool's primary action. However, it does not explicitly differentiate from sibling tools like plan_notebook_job or start_ec2_smoke_run, and the term 'paid' adds ambiguity.

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 implies a precondition ('only when policy and token allow it') but does not provide explicit guidance on when to use this tool versus alternatives such as plan_notebook_job or estimate_notebook_job_cost. No when-not or alternative tool references are given.

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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