Skip to main content
Glama
earlyprototype

notebooklm-py-diet-mcp

create_profile

Create a new NotebookLM profile by launching Google login for authentication, then use switch_account to access it.

Instructions

Create a new NotebookLM account profile and launch the Google login.

This opens a browser window for the user to sign into their Google account. Once authentication is complete, the profile is ready to use via switch_account.

Args: profile: Name for the new profile (e.g. 'work', 'design', 'testing'). Will be stored at ~/.notebooklm-.

Returns: Dictionary with the profile status and next steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileYes
Behavior4/5

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

The description reveals key behaviors: it opens a browser for Google sign-in, stores the profile at a specific path, and requires authentication. No annotations exist, so the description carries full burden; it provides substantial behavioral context.

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 concise with a front-loaded main action, followed by a clear Args section and a Returns note. Every sentence is informative without unnecessary detail.

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?

The description covers the purpose, parameter, process, and outcome. However, the return format is vague ('status and next steps') and prerequisites (like whether a user can have multiple profiles) are not mentioned. It is mostly complete for a low-complexity tool.

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?

Schema coverage is 0%, but the description adds meaning by giving examples ('work', 'design', 'testing') and explaining the storage path. This compensates well for the lack of schema descriptions.

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 it creates a new NotebookLM account profile and launches Google login. The verb 'create' and resource 'profile' are specific, and it distinguishes from sibling tools like 'switch_account' which assumes an existing profile.

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 this tool is used for setting up a new profile before switching, but it does not explicitly state when not to use it or compare with alternatives. The mention of 'use via switch_account' provides some workflow guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/earlyprototype/notebooklm-py-diet-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server