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get_source_text

Retrieve the complete indexed text content from a source in your NotebookLM notebook. Use this to extract and analyze source material for research or content generation.

Instructions

Get the full indexed text content of a specific source in a notebook.

notebook_id: The ID of the notebook. source_id: The ID of the source (use list_sources to find it).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYes
source_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description does not disclose any behavioral traits beyond the basic action. It does not mention authorization requirements, performance characteristics, or any side effects. The existence of an output schema may define return values, but the description adds no behavioral context.

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 concise, consisting of two sentences. The first sentence states the primary action, and the second lists the parameters with brief explanations. Every sentence serves a purpose with no wasted words.

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 the simplicity of the tool (get operation with two parameters) and the presence of an output schema, the description covers the essentials. However, it lacks usage context such as prerequisites (e.g., notebook must exist) and does not elaborate on behavioral traits. It is minimally viable but not thorough.

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 bears the full burden of explaining parameters. It explains notebook_id as 'The ID of the notebook' and source_id as 'The ID of the source' with a helpful hint to use list_sources. This adds meaning beyond the schema's property names.

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 with a specific verb ('Get') and resource ('full indexed text content of a specific source'). It distinguishes itself from sibling tools like list_sources (which lists sources) and get_summary (which provides summaries).

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 when to use the tool (when you need the full text of a source) but does not provide explicit guidance on alternatives or when not to use it. It references list_sources for finding the source_id, which is helpful but not comprehensive.

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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