Reproduce “ToolMisuseBench: An Offline Deterministic Benchmark for Tool Misuse and Recovery in Agentic Systems” on OpenResearch

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About this paper

Akshey Sigdel, Rista Baral

This work introduces ToolMisuseBench, an offline and deterministic benchmark designed to evaluate the operational reliability of tool-using agentic systems under explicit budget constraints. It features deterministic fault injection and recovery metrics, revealing that current repair strategies struggle with persistent failures like authorization issues or continuous rate limiting.

Key insights

  • The benchmark allows for decomposition of failures to pinpoint their origin (invalid call construction, policy violation, or recovery failure) and offers controlled adjustment of task difficulty.
  • Performance is measured using "budgeted success," quantifying the proportion of tasks completed successfully within a tool call cap, emphasizing efficiency-aware performance.
  • Deterministic replayability, achieved through task-seeded random streams and declarative trigger definitions, supports iterative research and robust comparison of agent methods.

Summary by alphaXiv.

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