Weft
RO
Sarcini · 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 este managerul de sarcini cu AI pentru fondatori solo și echipe mici.

Referința instrumentelor este întreținută în engleză: numele instrumentelor, argumentele și exemplele sunt identice în toate limbile.

Argumente

NumeTipObligatoriuDescriere
idstringdaTask ID
runIdstringdaThe runId returned by start_task
leaseTokenstringdaThe leaseToken returned by start_task
questionstringdaOne sentence a person can answer (≤500 chars)
options{ value, label }[]nuThe alternatives, when there are any. A question with options gets read; a yes/no gets rubber-stamped.
urgency'blocking' | 'soon'nuDefault 'blocking'
holdSecondsnumbernuHow long to wait inside the call before parking (default 120, max 240)

Returnează

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.

Adnotări

  • idempotent. Apelarea instrumentului de două ori cu aceleași argumente are același efect ca o singură apelare.

Exemplu

Ce spune utilizatorul:

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

Ce apelează AI-ul în culise:

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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