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notebook_add_drive

Add Google Drive documents as sources to NotebookLM notebooks to enable AI-powered analysis and content generation from your files.

Instructions

Add Google Drive document as source.

Args: notebook_id: Notebook UUID document_id: Drive document ID (from URL) title: Display title doc_type: doc|slides|sheets|pdf

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYes
document_idYes
titleYes
doc_typeNodoc

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies a write operation ('Add') but does not specify permissions required, whether the addition is reversible, rate limits, or what happens on success/failure. The description adds minimal context beyond the basic action, leaving significant behavioral gaps.

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 appropriately sized and front-loaded with the core purpose in the first sentence. The parameter details are listed efficiently in a bullet-like format. However, the 'Args:' section could be integrated more smoothly, and some sentences (like the parameter explanations) are terse but necessary.

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

Completeness3/5

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

Given no annotations, 0% schema description coverage, but an output schema exists, the description is moderately complete. It covers parameter semantics well but lacks behavioral details (e.g., side effects, error handling). The output schema likely handles return values, so the description's focus on inputs is adequate but not fully comprehensive for a write operation.

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?

Schema description coverage is 0%, so the description must compensate. It provides clear semantics for all parameters: 'notebook_id' as a UUID, 'document_id' as a Drive ID from a URL, 'title' as a display title, and 'doc_type' with enumerated values (doc|slides|sheets|pdf). This adds substantial meaning beyond the bare schema, though it could note that 'doc_type' defaults to 'doc' as per the schema.

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 ('Add Google Drive document as source') and identifies the resource ('Google Drive document'), which is specific and unambiguous. However, it does not explicitly differentiate from sibling tools like 'notebook_add_text' or 'notebook_add_url', which perform similar 'add' operations but with different source types.

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 alternatives. It lacks context about prerequisites (e.g., needing an existing notebook or Drive access), exclusions, or comparisons to siblings like 'notebook_add_url' or 'source_sync_drive', leaving the agent to infer usage based on tool names alone.

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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