Skip to main content
Glama
Robiton
by Robiton

source_get_content

Retrieve the raw text content of a source by its ID, including PDFs, web pages, pasted text, or YouTube transcripts. Faster than notebook_query for content export.

Instructions

Get raw text content of a source (no AI processing).

Returns the original indexed text from PDFs, web pages, pasted text, or YouTube transcripts. Much faster than notebook_query for content export.

Args: source_id: Source UUID

Returns: content (str), title (str), source_type (str), char_count (int)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
source_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so description carries full burden. It states 'raw text content' and 'no AI processing', implying a read-only operation. However, it does not disclose authentication needs, rate limits, or error behavior. Adequate but not exhaustive.

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?

Two sentences plus a parameter list, front-loaded with main purpose. Every sentence adds value; no redundancy or verbosity.

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

Completeness4/5

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

Although output schema exists, description already details return fields (content, title, source_type, char_count). Missing edge cases or error conditions, but for a simple retrieval tool it is fairly complete.

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 has 0% description coverage, so description must compensate. It describes 'source_id: Source UUID', adding the concept of UUID to the schema type. This is minimal but sufficient for a single parameter; baseline is 3.

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?

Description clearly states the verb 'Get', the resource 'raw text content of a source', and explicitly mentions no AI processing. It distinguishes from sibling tool 'notebook_query' by noting speed advantage for content export.

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?

Explicitly recommends this tool over 'notebook_query' for content export due to speed. Does not explicitly exclude other contexts or mention prerequisites, but the contrast provides clear guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Robiton/notebooklm-mcp-cli'

If you have feedback or need assistance with the MCP directory API, please join our Discord server