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This work presents Ascent, an agentic system that exposes medical coding, question answering, and cohort analysis through a shared Model Context Protocol tool surface for standardized and native schemas, and introduces EpiTrap, a dataset testing whether systems avoid recognized pharmacoepidemiological errors.
LLMs' failures in Text-to-SQL can now be diagnosed as either input ambiguity (requiring clarification) or model instability (requiring model improvement), enabling targeted interventions.