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AWS Notebook Runner MCP

explain_existing_aws_options

Compare AWS and AWS Labs tools for running notebooks, and discover how this prototype simplifies setup and reduces costs.

Instructions

Explain related AWS/AWS Labs tools and how this prototype differs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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, the description carries full burden for behavioral disclosure. It only states it 'explains' but provides no details on the nature of the explanation (e.g., textual output, format, length), no side effects, no authentication needs, and no outcome details. Minimal transparency.

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 sentence that conveys the core purpose without extra words. It is front-loaded and efficient, though a slightly more structured format could improve scannability.

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 having zero parameters and an output schema (not detailed), the description does not clarify what the tool returns. Given sibling tools are action-oriented, the explanatory nature of this tool's output is critical for the agent to decide if it meets the need. The lack of output description reduces contextual completeness.

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

Parameters4/5

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

The tool has zero parameters and schema coverage is 100% (vacuously). The description need not add parameter info since none exist. Baseline of 4 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 verb 'Explain' and identifies the specific resource: 'related AWS/AWS Labs tools and how this prototype differs.' This distinguishes it from sibling tools that perform actions like 'check,' 'estimate,' or 'start.' The purpose is unambiguous.

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?

The description implies the tool is used to gain context about existing tools before using them, but it does not explicitly state when to use it versus alternatives. No guidance on when not to use it or mention of prerequisites.

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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