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source_add

Add a URL, text, file, or Google Drive document to a NotebookLM notebook as a source.

Instructions

Add a source to a notebook. Unified tool for all source types.

Supports: url, text, drive, file

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYesNotebook UUID
source_typeYesType of source to add: - url: Web page or YouTube URL - text: Pasted text content - drive: Google Drive document - file: Local file upload. Supported extensions: PDF, TXT, MD, DOCX, CSV, EPUB, MP3, M4A, WAV, AAC, OGG, OPUS, MP4, JPG, JPEG, PNG, GIF, WEBP. Image-bearing sources (PDF / JPG / PNG / etc.) feed Studio video generation's visual-crop pipeline — charts, photos, and diagrams may be extracted as on-screen aids in Video Overviews.
urlNoURL to add (for source_type=url)
urlsNoList of URLs to add in bulk (for source_type=url, alternative to url)
textNoText content to add (for source_type=text)
titleNoDisplay title (for text sources)
file_pathNoLocal file path (for source_type=file)
document_idNoGoogle Drive document ID (for source_type=drive)
doc_typeNoDrive doc type: doc|slides|sheets|pdf (for source_type=drive)doc
waitNoIf True, wait for source processing to complete before returning
wait_timeoutNoMax seconds to wait if wait=True (default 120)

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 must disclose behavioral traits. It only mentions the action ('add a source') without detailing processing behavior, authentication needs, rate limits, or side effects. The presence of 'wait' and 'wait_timeout' parameters implies potential async behavior, but this is not described.

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 extremely concise with two sentences, front-loading the core purpose and then listing supported types. Every sentence adds value with no redundancy.

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?

Given the tool has 11 parameters and a complex input schema, the description is too sparse. It does not explain parameter relationships (e.g., when to use 'url' vs 'urls'), nor does it mention output schema behavior. The description fails to provide a complete mental model for effective use.

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 all parameters are documented in the schema. The description lists supported source types but adds no additional meaning beyond what the schema already provides. Baseline score of 3 is appropriate.

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: 'Add a source to a notebook.' It lists supported types (url, text, drive, file) and positions itself as a unified tool, distinguishing it from sibling tools like source_delete or source_describe.

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 indicates this is the primary tool for adding sources ('Unified tool for all source types') but does not explicitly state when to use alternatives or when not to use this tool. No exclusions or conditional guidance is provided.

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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