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rubayatkhan

mcp-research-pipeline

by rubayatkhan

create_notebook

Create a new NotebookLM notebook to organize research materials. Name the notebook to start building an AI-powered research workspace.

Instructions

Create a new NotebookLM notebook.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName for the new notebook.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the burden. It correctly indicates a creation operation (implying mutation), which is a basic behavioral trait. However, it does not disclose any side effects, required permissions, or the fact that a notebook is likely empty after creation. It adds minimal behavioral context beyond the obvious word 'create'.

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 short sentence with no waste. It states the purpose instantly and is appropriate for a simple one-parameter tool. No unnecessary details are present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple creation tool with one parameter and an output schema, the description covers the basic purpose. However, without annotations or details about post-creation behavior (e.g., whether the notebook starts empty, whether duplicate names are allowed), it lacks some context. The output schema helps, but the description could mention what happens after creation.

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 100% and the single parameter 'name' has a clear schema description. The tool description does not add additional parameter semantics, but with full schema coverage, the schema itself is sufficient. Baseline 3 is appropriate.

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?

The description 'Create a new NotebookLM notebook' clearly states the action (create) and the resource (NotebookLM notebook). While it is concise, it doesn't explicitly differentiate from sibling tools like add_source or generate_artifact, but the resource is specific enough to avoid major confusion. The verb and object are direct and 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 usage context (creating a notebook as an initial step), but it does not state when to use this tool versus alternatives. There are no explicit exclusions or when-not-to-use guidance. The clear resource type gives some implied context, but no explicit guidance on alternatives.

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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