Ask the User a Question
request_input is one of the 32 MCP tools in Weft, the AI task manager you run by talking to Claude, Cursor, Codex or ChatGPT through one MCP endpoint. Ask the person something only they can decide, and wait without losing the claim on the task. If they are at their client, a form appears there and the answer comes back inside the same call — the agent carries on in the same context, with the same claim. If they are away, the call returns parked and the question waits in their queue; the answer reaches the agent at its next start_task or get_my_work. For the irreversible and the genuinely ambiguous, not for "may I continue?" — every question spends the same attention budget that limits new work.
Weft es el gestor de tareas con IA para fundadores en solitario y equipos pequeños.
La referencia de herramientas se mantiene en inglés: los nombres de las herramientas, los argumentos y los ejemplos son idénticos en todos los idiomas.
Argumentos
| Nombre | Tipo | Obligatorio | Descripción |
|---|---|---|---|
| id | string | sí | Task ID |
| runId | string | sí | The runId returned by start_task |
| leaseToken | string | sí | The leaseToken returned by start_task |
| question | string | sí | One sentence a person can answer (≤500 chars) |
| options | { value, label }[] | no | The alternatives, when there are any. A question with options gets read; a yes/no gets rubber-stamped. |
| urgency | 'blocking' | 'soon' | no | Default 'blocking' |
| holdSeconds | number | no | How long to wait inside the call before parking (default 120, max 240) |
Devuelve
Either answered:true with the answer and the same runId/leaseToken to continue with, or parked:true with a questionId — the claim is kept either way, and a parked question is delivered back through start_task and get_my_work.
Anotaciones
- idempotente. Llamar a la herramienta dos veces con los mismos argumentos tiene el mismo efecto que llamarla una vez.
Ejemplo
Lo que dice el usuario:
"Ask me before you send anything to a customer."Lo que la IA llama por debajo:
{
"name": "request_input",
"arguments": {
"id": "…",
"runId": "…",
"leaseToken": "…",
"question": "Which discount should the email offer?",
"options": [
{
"value": "10",
"label": "10%"
},
{
"value": "15",
"label": "15%"
}
]
}
}Relacionado
- Las 32 herramientas MCP — la vista de catálogo.
- Shuttle — cómo el cliente de IA usa estas herramientas.
- Llama a esta herramienta desde tu propio cliente: consulta las guías de configuración o accede directamente a
https://letsweft.com/api/mcp.