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hungln105-cell

notebooklm-mcp-cli

Notebook Share Batch

notebook_share_batch

Batch-invite multiple collaborators to a notebook in one request. Specify recipient emails and optionally set roles, reducing repetitive sharing steps.

Instructions

Invite multiple collaborators in a single request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNoMust be True after user approval
recipientsYesList of dicts, each with 'email' (str) and optional 'role' (str). Role defaults to 'viewer'. Example: [{"email": "a@b.com", "role": "editor"}]
notebook_idYesNotebook UUID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.11.5

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states that the tool invites multiple collaborators in one request, omitting key behaviors such as the need for confirm=True after user approval, the mutating nature of the action, and any side effects like email notifications. This is too minimal for a sensitive sharing operation.

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, front-loaded sentence with no filler or redundancy. It is concise, though it sacrifices necessary context. Conciseness itself is strong, but the terseness contributes to the overall incompleteness.

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

Completeness2/5

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

For a tool with a confirmation parameter and several sharing siblings, this one-sentence description is not complete enough. An agent cannot tell when to use batch sharing, that user approval is required, or how this differs from notebook_share_invite. The presence of an output schema does not compensate for the missing behavioral and usage context.

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 description coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning beyond what the schema already provides; recipients, notebook_id, and confirm are each documented in the input schema, so the tool description does not need to repeat them.

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 action ('Invite') and the resource ('collaborators'), with 'multiple' and 'in a single request' conveying the batch nature, which loosely distinguishes it from the single-invite sibling (notebook_share_invite). However, it does not explicitly mention the notebook context or name alternatives, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus notebook_share_invite or notebook_share_public, and it does not mention the confirm=True prerequisite that appears in the schema. An agent is left without context for choosing this tool or understanding the approval flow.

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