tool use

TimeEvo: Failure-Driven Self-Evolution of a Time Series Agentarxiv.org

TimeEvo is a framework that enables time series agents to self-evolve their toolkits by diagnosing failures and synthesizing new, task-specific tools. It addresses issues like tool misalignment and silent harm, where pre-selected tools can degrade performance or introduce errors unnoticed. Experiments show TimeEvo significantly improves accuracy across various time series QA tasks and models.