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Search APIs Evaluated as Decision Surfaces for Tool-Using AI Agents
A new arXiv paper examines how the ranked snippets, URLs, and metadata returned by search APIs shape the choices made by tool-using AI agents, such as whether to answer, search again, or open a page. The authors evaluate these interfaces as decision surfaces using a fixed set of 100 questions drawn from the 254-question SealQA-Hard benchmark. The work suggests that agents can reach similar accuracy while relying on differing amounts or quality of supporting evidence.