Weft
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Tâches · 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 est le gestionnaire de tâches IA des fondateurs solos et des petites équipes.

La référence des outils est maintenue en anglais : les noms d’outils, les arguments et les exemples sont identiques dans toutes les langues.

Arguments

NomTypeObligatoireDescription
idstringouiTask ID
runIdstringouiThe runId returned by start_task
leaseTokenstringouiThe leaseToken returned by start_task
questionstringouiOne sentence a person can answer (≤500 chars)
options{ value, label }[]nonThe alternatives, when there are any. A question with options gets read; a yes/no gets rubber-stamped.
urgency'blocking' | 'soon'nonDefault 'blocking'
holdSecondsnumbernonHow long to wait inside the call before parking (default 120, max 240)

Retour

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.

Annotations

  • idempotent. Appeler l’outil deux fois avec les mêmes arguments produit le même effet qu’un seul appel.

Exemple

Ce que dit l’utilisateur :

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

Ce que l’IA appelle en coulisses :

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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