ToolBench-X
Benchmark framework testing agent robustness with unreliable tools and error conditions
About
Research benchmark framework designed to evaluate how well AI agents handle tool-using scenarios when tools fail, return errors, or behave unpredictably. Unlike standard benchmarks that assume perfect tool execution, ToolBench-X tests agent robustness, error recovery, and adaptation in realistic conditions where APIs timeout, data is malformed, or tools are temporarily unavailable. Essential for developers building production-ready autonomous agents that need to gracefully handle real-world tool failures.
Details
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Tags
Quick Info
- Organization
- Research (Yang Tian et al.)
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Jun 25, 2026
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