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Altus Commonware Research MCP

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Login to NotebookLM

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Opens Chrome for Google sign-in to authenticate with NotebookLM. After user completes sign-in, tokens are saved automatically.

Instructions

Authenticates with NotebookLM by launching Chrome for Google sign-in. A Chrome window will open — the user must complete the Google login. Once logged in, auth tokens are saved automatically.

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 the full burden of behavioral disclosure. It clearly discloses that a Chrome window will open, the user must complete Google sign-in, and tokens are saved automatically. This adds useful context beyond a simple 'login' and sets accurate expectations, though it could mention potential side effects like requiring interaction downtime.

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 long, front-loaded with the primary action, and contains no filler. Every sentence earns its place by explaining how authentication works and what the user should expect.

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?

For a simple login tool with no parameters or output schema, the description covers the key context: what happens (launches Chrome), what the user must do (complete Google login), and the outcome (tokens saved). It is complete enough for an agent to invoke correctly, though it could briefly mention that this is a one-time setup and that refresh_auth may be used later.

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 zero parameters, so the baseline score is 4 per the rubric. The description does not need to explain parameter semantics, and it appropriately focuses on the authentication process.

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 tool's purpose: 'Authenticates with NotebookLM by launching Chrome for Google sign-in.' It uses a specific verb ('Authenticates') and resource ('NotebookLM'), and distinguishes itself from sibling refresh_auth by emphasizing initial login vs. saved tokens.

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 (needed for authentication before using the product) and states that tokens are saved automatically, suggesting it is for initial login. However, it does not explicitly mention when not to use it or contrast with alternatives like refresh_auth, so guidance remains implied rather than explicit.

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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