Attività · MCP

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 è il gestore di attività con IA per chi fonda da solo e i piccoli team.

Il riferimento degli strumenti è mantenuto in inglese: nomi degli strumenti, argomenti ed esempi sono identici in tutte le lingue.

Argomenti

NomeTipoObbligatorioDescrizione
idstringsìTask ID
runIdstringsìThe runId returned by start_task
leaseTokenstringsìThe leaseToken returned by start_task
questionstringsìOne sentence a person can answer (≤500 chars)
options{ value, label }[]noThe alternatives, when there are any. A question with options gets read; a yes/no gets rubber-stamped.
urgency'blocking' | 'soon'noDefault 'blocking'
holdSecondsnumbernoHow long to wait inside the call before parking (default 120, max 240)

Restituisce

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.

Annotazioni

  • idempotente. Chiamare lo strumento due volte con gli stessi argomenti ha lo stesso effetto di chiamarlo una volta.

Esempio

Cosa dice l’utente:

"Ask me before you send anything to a customer."

Cosa chiama l’IA dietro le quinte:

json
{
  "name": "request_input",
  "arguments": {
    "id": "…",
    "runId": "…",
    "leaseToken": "…",
    "question": "Which discount should the email offer?",
    "options": [
      {
        "value": "10",
        "label": "10%"
      },
      {
        "value": "15",
        "label": "15%"
      }
    ]
  }
}

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