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AWS Notebook Runner MCP

plan_notebook_job

Create a dry-run plan for a SageMaker notebook job to review configuration and costs without starting any AWS compute resources.

Instructions

Build a dry-run SageMaker notebook job plan; does not start AWS compute.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
local_pathYes
job_nameYes
image_uriYes
kernel_nameNopython3
instance_typeNo
max_runtime_secondsNo
parametersNo
cleanupNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so description bears full burden. It states 'does not start AWS compute', which is important for a safe dry-run. However, it omits other behaviors like validation, plan format, or permission checks.

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?

One sentence, front-loaded with key points. Very concise, though could include a bit more context without losing efficiency.

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?

Despite an output schema, the description does not explain what the plan contains or how to use it. For a planning tool with 8 parameters, this is incomplete.

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

Parameters2/5

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

Schema description coverage is 0%, and the description adds no information about parameters beyond their names and types. For an 8-parameter tool, this is insufficient.

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?

Description clearly states verb (build) and resource (SageMaker notebook job plan), and highlights key characteristic (dry-run, does not start compute). However, it does not explicitly differentiate from sibling tools like start_sagemaker_notebook_job or explain_existing_aws_options.

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 on when to use this tool versus alternatives. It doesn't mention that it's for validation/planning before actual execution, nor when to avoid it.

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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