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notebook_share_batch

Batch invite collaborators to a NotebookLM notebook by providing a notebook ID and a list of recipients with emails and roles. Requires user confirmation.

Instructions

Invite multiple collaborators in a single request.

Args: notebook_id: Notebook UUID recipients: List of dicts, each with 'email' (str) and optional 'role' (str). Role defaults to 'viewer'. Example: [{"email": "a@b.com", "role": "editor"}] confirm: Must be True after user approval

Returns: invited_count, recipients list, and message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNo
recipientsYes
notebook_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries full burden. It discloses the mandatory 'confirm' parameter after user approval and explains the return structure. However, it could add details on error handling or partial failures.

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 concise and well-structured with clear sections. It could be slightly more scannable, but it appropriately front-loads the purpose.

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 presence of an output schema, the description covers purpose, parameters, and return format. It could mention edge cases or idempotency, but is sufficient for correct invocation.

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

Parameters5/5

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

Schema coverage is 0%, so the description must compensate—and does so fully. It explains each parameter: notebook_id as UUID, recipients as list of dicts with default role, and confirm as boolean requiring True. An example is provided.

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 'Invite multiple collaborators in a single request,' specifying the verb (invite), resource (collaborators), and scope (batch). This distinguishes it from sibling tools like notebook_share_invite (single invite) and notebook_share_public.

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 batch invitation but does not explicitly contrast with alternatives or provide when-to-use guidance. It lacks exclusion criteria or mention of prerequisites.

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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