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notebooklm_auth_setup

Configure authentication for NotebookLM integration by opening a browser for Google login, saving the session for automated access to AI study notebooks with Canvas course content.

Instructions

Setup NotebookLM authentication.

IMPORTANT: This requires manual interaction!

  • Opens a browser window for Google login

  • User must log in to their Google account

  • After logging in and seeing NotebookLM, press Enter in the terminal

  • Session is saved for future automated use

This only needs to be done once (session persists).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it requires manual user interaction (browser login), saves session data for future automated use, and is a one-time setup. It doesn't mention error handling or specific permission scopes, but covers the essential workflow clearly.

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 well-structured and front-loaded with the main purpose, followed by bullet points for critical steps and a concluding note about persistence. Every sentence adds value: the first states the purpose, bullets detail the manual process, and the last explains the one-time nature. No wasted 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 tool's complexity (authentication setup with manual steps) and no annotations or output schema, the description is reasonably complete. It explains what the tool does, the required user actions, and the persistence of the session. It could mention what happens after setup (e.g., how other tools use the session) but covers the core context adequately.

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 with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the authentication process. This meets the baseline expectation for a parameterless tool.

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 clearly states the tool's purpose as 'Setup NotebookLM authentication' with the specific action of enabling authentication through Google login. It distinguishes itself from sibling tools by focusing on authentication setup rather than Canvas or NotebookLM content operations. However, it doesn't explicitly contrast with 'notebooklm_auth_check' which might be a closer sibling.

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 provides explicit guidance on when to use this tool: 'This only needs to be done once (session persists)' and 'IMPORTANT: This requires manual interaction!' It clearly indicates this is for initial setup versus repeated authentication checks, though it doesn't name 'notebooklm_auth_check' as an alternative for subsequent verifications.

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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