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arxiv_cs_cl · Nov 3, 2026 · paper

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ToolSpace: Scaling Tool-Centric Environment Synthesis for Long-Horizon Agents

arxiv.orgNov 3, 2026
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In brief

Large language models are deployed as long-horizon agents that compose diverse tools across MCP services into executable workflows. Existing MCP environment-scaling methods are data-centric: they first synthesize a da...

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ToolSpace: Scaling Tool-Centric Environment Synthesis for Long-Horizon Agents

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