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标题为英语Progressive Skill Discovery as Access Control for Tool-Using LLM Agents: Structural Governance through Role-Scoped Capability Delivery

arXiv:2609.28693v1 Announce Type: new Abstract: Large Language Model (LLM) agents struggle to scale safely when exposed to vast enterprise toolsets. Providing an agent with access to every internal tool leads to oversized context windows, degraded tool selection, and severe…

arXiv — cs.AI作者: Michael Stettler, Benjamin Girardet, Jonas Canton, Nicolas Corod2026年9月25日 (9月25日)
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  • arXiv:2609.28693v1 Announce Type: new Abstract: Large Language Model (LLM) agents struggle to scale safely when exposed to vast enterprise toolsets
  • Providing an agent with access to every internal tool leads to oversized context windows, degraded tool selection, and severe…
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Progressive Skill Discovery as Access Control for Tool-Using LLM Agents: Structural Governance through Role-Scoped Capability Delivery

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