Weft
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Εργασίες · 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.

Το Weft είναι η διαχείριση εργασιών με AI για solo founders και μικρές ομάδες.

Η αναφορά εργαλείων συντηρείται στα αγγλικά: τα ονόματα των εργαλείων, τα ορίσματα και τα παραδείγματα είναι ίδια σε κάθε γλώσσα.

Ορίσματα

ΌνομαΤύποςΑπαιτείταιΠεριγραφή
idstringναιTask ID
runIdstringναιThe runId returned by start_task
leaseTokenstringναιThe leaseToken returned by start_task
questionstringναιOne sentence a person can answer (≤500 chars)
options{ value, label }[]όχιThe alternatives, when there are any. A question with options gets read; a yes/no gets rubber-stamped.
urgency'blocking' | 'soon'όχιDefault 'blocking'
holdSecondsnumberόχιHow long to wait inside the call before parking (default 120, max 240)

Επιστρέφει

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.

Σημειώσεις

  • ταυτοδύναμο. Η διπλή κλήση του εργαλείου με τα ίδια ορίσματα έχει το ίδιο αποτέλεσμα με μία κλήση.

Παράδειγμα

Τι λέει ο χρήστης:

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

Τι καλεί το AI στο παρασκήνιο:

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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