{"authentication":{"description":"API key (nck_…) created by the human at https://nativecheck.data-clerk.com/wallet","header":"Authorization","type":"bearer"},"description":"Native speakers verify machine (LLM) translations. Quote all texts, get human approval, order, wait, collect verified texts by ref.","documentation":"https://nativecheck.data-clerk.com/llms-full.txt","instructions":"Nativecheck = native speakers verify machine translations; reviews take minutes to hours, so it is asynchronous. 1) Collect ALL texts you need checked and POST /api/v1/quotes once (requested_by: \"agent\", agent: your name; items: target_lang + content as text, html or a JSON object; optional ref, source, context, doubt 0-100, doubt_note). 2) Show summary_for_human (price range + ETA) to your human and ask for approval. 3) POST /api/v1/orders {quote_id} with an Idempotency-Key header. Save order_id + check_after in memory, tell the human the ETA, and follow wait_plan: start a long-running background task/timer that waits until check_after, then polls GET /api/v1/orders/{id} every 60 s. 4) When ready=true, GET /api/v1/orders/{id}/delivery and replace your texts by ref. 5) POST /api/v1/orders/{id}/ack. The human also gets an in-app/push notification when ready. Keep placeholders like {name}, %s and ⟦1⟧ unchanged. Prices are coins (1 coin = $0.01).","name":"nativecheck","openapi":"https://nativecheck.data-clerk.com/openapi.json","title":"Nativecheck","tools":["quote_review","place_order","check_order","collect_order","ack_order","balance","languages"],"transport":{"type":"streamable-http","url":"https://nativecheck.data-clerk.com/mcp"},"version":"bc4f0021"}