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earlyprototype

notebooklm-py-diet-mcp

create_notebook

Creates a new NotebookLM notebook using a specified title. Returns the notebook ID and title for further use.

Instructions

Create a new NotebookLM notebook.

Args: title: Title for the new notebook

Returns: Dictionary with notebook ID and title

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
Behavior2/5

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

No annotations provided, and description does not disclose behavioral traits such as side effects, permissions, idempotency, or constraints (e.g., title uniqueness). Only states creation action and return value.

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 short and well-structured, with a clear purpose line followed by args and returns in a clean format. No unnecessary words.

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 the simplicity of the tool (one parameter, no output schema), the description covers basic purpose and return. Could add more on constraints like title length or uniqueness, but is adequate for its complexity.

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

Parameters3/5

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

Schema coverage is 0%, but the description adds meaning by explaining the parameter's purpose ('Title for the new notebook'), which helps beyond the schema's type and title alone. However, no details on format or validation.

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?

Clearly states it creates a new NotebookLM notebook with a specific verb and resource. Distinguishes from sibling list_notebooks_tool by nature of operation (creation vs listing).

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?

Implied usage for creating a notebook, but no explicit guidance on when to use this vs alternatives like list_notebooks_tool or other tools. No exclusion criteria mentioned.

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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