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NotebookLM MCP Server

by dougrn

Source Add Play Book

source_add_play_book

Add a Google Play Book as an expert intelligence source to a notebook by its content ID. The book must be exportable and is processed asynchronously, optionally waiting for readiness.

Instructions

Add a Google Play Book as a source by its content id (Expert Intelligence).

content_id is a volume id from source_list_play_books. The title must be exportable — a publisher-blocked one is refused up front. Accepts a notebook name or ID. Reads back as an expert_intelligence source. Processed asynchronously; pass wait=true to block until READY. Web backend only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNo
notebookYes
content_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that publisher-blocked titles are refused up front, that processing is asynchronous, that wait=true blocks until READY, and that the source reads back as expert_intelligence. Auth/permission requirements remain unstated, which keeps it from a 5.

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?

Front-loads the core action, then layers the id source, the exportability caveat, notebook handling, output type, and async/wait behavior without filler. Slightly dense, but each sentence earns its place.

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

Completeness5/5

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

For an async mutation tool with an output schema, it covers the operational essentials an agent needs: id provenance, refusal condition, blocking behavior, and backend scope. Return value detail is correctly delegated to the output schema.

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 for all three params and does: content_id is a volume id from source_list_play_books, notebook accepts a name or ID, and wait=true blocks until READY. Every parameter gains meaning beyond the bare types.

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?

States a specific verb+resource ('Add a Google Play Book as a source by its content id') and qualifies it with the 'Expert Intelligence' type, which cleanly distinguishes it from source_add and source_add_drive_file. An agent can identify the operation without opening the schema.

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

Usage Guidelines4/5

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

Routes the agent to source_list_play_books for obtaining the content_id and states the exportability prerequisite. It lacks an explicit 'use this instead of source_add_drive_file when...' exclusion, so it stops just short of the 5 tier.

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