Evoflux tackles a common failure mode in small tool-using agents: plausible workflow plans that break when executed.
The paper argues that MCP-style tool use requires more than calling individual functions. Agents must discover tools, satisfy schemas, preserve dependencies, and ground answers in actual execution evidence.
Rather than relying only on distillation, Evoflux evolves and repairs executable workflows at inference time, which could make compact agents more reliable in live tool environments.