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AWS Notebook Runner MCP

estimate_notebook_job_cost

Calculate SageMaker notebook job compute cost based on instance type and runtime. Plan AWS spending with upfront cost estimates.

Instructions

Estimate SageMaker notebook job compute cost from static or configured prices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_typeNo
max_runtime_secondsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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. It does not disclose how costs are calculated, what 'static or configured prices' means, whether it calls external APIs, or any assumptions. Behavioral traits are largely opaque.

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 clear sentence with no unnecessary words. It is front-loaded with the core action and resource, making it efficient for an agent to parse.

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 lack of annotations and schema descriptions, the description is insufficiently complete. It omits details about cost calculation method, limitations, or output structure. While output schema exists, the description still fails to convey key behavioral context.

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%, and the description adds no explanation for the two parameters (instance_type, max_runtime_seconds). The description fails to add any meaning beyond the raw schema, which is insufficient for an agent to correctly populate these fields.

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 tool's action ('estimate'), the resource ('SageMaker notebook job compute cost'), and the source ('from static or configured prices'). It distinguishes well from sibling tools like plan_notebook_job which are about planning, not cost estimation.

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 provides no guidance on when to use this tool versus alternatives. It does not mention any prerequisites, context, or exclusions. For a cost estimation tool, explicit usage scenarios are important.

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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