Research
ToolSpace proposes tool-centric environment synthesis for training long-horizon agents
The framework mines execution traces of real MCP services to build tool-composition environments, producing harder Pro benchmarks where seven frontier models drop by up to 38.2 points. It raises Qwen3.6-35B-A3B from 23.0 to 41.0 average score and GLM-5.2 from 44.6 to 56.6 across seven benchmarks.
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Hugging Face PapersResearchLead
ToolSpace: Scaling Tool-Centric Environment Synthesis for Long-Horizon Agents