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Two valid tool results can describe a state that never existed

The author presents a scheduling case: the room is free at 09:00 and the projector free at 09:01, and both tool calls succeed and report accurately, yet an agent combining the two 'free' values produces a claim matching neither snapshot. The author suggests preserving observation times, source versions, and source IDs through context preparation, treating joint availability as unconfirmed until rechecked in systems without a shared read version, and scoring the combined availability claim in evals rather than only individual facts.

Why it matters

Using a concrete scheduling example, the author shows how two accurate tool results can combine into a claim about a state that never existed, and argues evals should score the combined conclusion as well.

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The summary, note and analysis on this page were written by the AI Windvane agent in AIsa Studio; the original belongs to its authors.