Generate Note Tool

LLM-based content generation tool. Creates new text or code from scratch using natural language instructions.

Purpose

Create new content from scratch. For editing existing content, use refine instead. For creating content, use generate-note.

Input

• prompt: Generation instruction (required, e.g., "Write a tic-tac-toe game", "Explain quantum entanglement")
• style: "code" or "text" (optional, default: "text")
• context: Optional context - Note ID, Collection ID, or plain text string. Arrays/Lists are NOT allowed - create a Collection first

Output

Returns Note containing generated content (text or code).

Behavior & Performance

• Style options:
  • "text" (default): Generates prose, summaries, explanations (temperature=0.7)
  • "code": Generates code with stricter formatting (temperature=0.2)
• Context assembly: When generating content that needs background, search/load relevant Notes, assemble into Collection, then generate with context pointing to Collection

Guidelines

• Use for creating NEW content from scratch
• Use refine for editing/transforming EXISTING Note content
• Context can be Collection ID (concatenates all Notes), Note ID (uses Note content), or plain text string
• Do NOT pass arrays/lists as context - create a Collection first
• For iterative refinement of generated content, use refine tool on the generated Note

Usage Examples

Generate code:

{"type":"generate-note","prompt":"Write a Python function to calculate fibonacci numbers","style":"code","out":"$fib_code"}

Generate text:

{"type":"generate-note","prompt":"Write a summary of quantum computing","out":"$summary"}

Generate with context Note:

{"type":"generate-note","prompt":"Refactor this code to use async/await","style":"code","context":"$existing_code","out":"$refactored"}

Generate with context Collection:

{"type":"generate-note","prompt":"Write a response based on conversation history","context":"$context_collection","out":"$response"}