Agentic framework 2.2.2: define checkpoints needing human approval for high-stakes actions, irreversible actions (deleting data, sending communications, payments), outlier behaviour and user-defined thresholds; keep approval requests short, contextual and risk-flagged, with edit or written justification for complex or high-risk cases; counter automation bias and alert fatigue by tracking override rates and response times, spotting outlier reviewers, training overseers on failure modes (noting chain-of-thought may not be a faithful explanation) and ensuring domain expertise; complement with automated real-time monitoring and alerts, agents monitoring agents, and denying actions by default when approval infrastructure fails.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.