Agent Seer: Synthesizing Tool-Evaluation Scenarios from Specifications
Apple researchers introduce Agent Seer, a pipeline that generates realistic AI-agent evaluation scenarios from a single Model Context Protocol (MCP) specification, without examples, live tool access, or domain-specific tuning. It enriches schemas, creates graded scenarios, and expands them into multi-turn dialogues. Tests on seven MCP specs show strong quality, with parameter schema complexity as the main quality factor.
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