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list_notebooks

Retrieve all available library notebooks with metadata to select the appropriate one for your task.

Instructions

List all library notebooks with metadata (name, topics, use cases, URL). Use this to present options, then ask which notebook to use for the task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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 describes the action ('List all library notebooks') and output metadata, but lacks details on behavioral traits like pagination, rate limits, permissions, or error handling. It adds some context (e.g., metadata fields) but is incomplete for a tool with no annotations.

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 two sentences, front-loaded with the core purpose and followed by usage guidance. Every sentence adds value without redundancy, making it efficient and well-structured.

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 0 parameters, no output schema, and no annotations, the description is reasonably complete for a simple list tool. It explains what the tool does and how to use it, but lacks details on output format (beyond metadata fields) or error cases, leaving some gaps in context.

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 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description does not mention parameters, which is appropriate, and adds value by explaining the tool's purpose and usage. Baseline is 4 for 0 parameters.

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 ('List') and resource ('all library notebooks'), specifies the scope ('with metadata (name, topics, use cases, URL)'), and distinguishes from siblings like 'search_notebooks' by indicating it lists all notebooks without filtering. It provides a specific, actionable purpose.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool ('to present options') and what to do next ('then ask which notebook to use for the task'), distinguishing it from alternatives like 'search_notebooks' for filtered searches. It provides clear context and a workflow, though it doesn't explicitly state when not to use 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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