Monte Carlo Agent Toolkit gives AI coding agents data observability superpowers across the full data lifecycle. Before querying a table, the agent checks freshness, alerts, and monitor coverage. When an alert fires, it triages, traces root cause, and proposes fixes. When code changes a dbt model, it surfaces blast radius before the edit lands. It plans monitor coverage on new domains, tunes noisy monitors, diagnoses slow pipelines, identifies storage waste, and generates validation queries for PRs.