Ask user tool
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@@ -59,6 +59,12 @@ Allows the model to browse Wikipedia using its API.
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* **Workflow**: Use `mode='summary'` (default) to get an overview and a Table of Contents. Use `mode='section'` with a linear index from the ToC to dive into specific details.
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* **Features**: Returns raw Wikitext to save tokens, handles redirects, and automatically falls back to a search result list if a page is not found.
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### 🗣️ `ask_user`
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Asks the human operator a question and waits for their answer.
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* **Best for**: Circuit-breaking when the model is missing critical context or needs guidance. Use this to interject when the model gets stuck.
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* **Workflow**: The model calls `ask_user` with a `question` string. The question is printed to the MCP server's terminal, and the server blocks until you type an answer and press Enter.
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* **Behavior**: Blocks indefinitely — there is no timeout. The answer is returned to the model as the tool result.
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---
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## Installation & Requirements
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@@ -26,6 +26,7 @@ from .browse_wikipedia import handle as wikipedia_handler
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from .get_model_info import handle as get_model_info_handler
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from .generate_image import handle as generate_image_handler
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from .search_tags import handle as search_tags_handler
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from .ask_user import handle as ask_user_handler
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# Central registry of all available tools
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TOOL_REGISTRY = [
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@@ -167,4 +168,16 @@ TOOL_REGISTRY = [
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},
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handler=search_tags_handler
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),
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Tool(
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name="ask_user",
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description="Asks the human operator a question and waits for their answer. Use this when the model is missing critical information or needs guidance. This blocks the server until the user responds.",
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schema={
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"type": "object",
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"properties": {
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"question": {"type": "string", "description": "The question to ask the human operator."}
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},
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"required": ["question"],
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},
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handler=ask_user_handler
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),
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]
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@@ -0,0 +1,31 @@
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import asyncio
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from typing import Any, Dict
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from tools.utils import ToolError
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logger = None # logging not wired up in this module; keep it simple
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async def handle(args: Dict[str, Any]):
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"""
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Asks the human operator a question and blocks until they type an answer.
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Intended as a circuit-breaker when the model is missing critical context
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or needs guidance. Prints the question to the MCP server's terminal and
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reads the answer from stdin.
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"""
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question = args.get("question")
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if not question:
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raise ToolError("Missing 'question' argument")
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# Print the question to the server terminal so the human sees it.
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print(f">>> {question}")
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try:
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answer = await asyncio.to_thread(input, ">>> ")
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except (EOFError, KeyboardInterrupt):
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print("\n>>> Input interrupted.")
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raise ToolError("ask_user was interrupted")
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answer = (answer or "").strip()
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if not answer:
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raise ToolError("ask_user received an empty answer")
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return [{"type": "text", "text": answer}]
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