Unverified50% confidenceFactExact time
In LLM agent scenarios, an agent may consecutively call multiple tools (such as database writes, email sending, and payment interfaces), and some operations are irreversible or high-cost, requiring human confirmation before execution
1
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50%
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Long-term
Relevance
10/14/2026
First Seen
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Related Claims
UnverifiedThe essence of an Agent is to give an LLM—which can only output text—the ability to access external data and execute operations through a tool-calling mechanism77% similarUnverifiedAn agent's behavioral path is generated in real time by the LLM, and the same user request may produce entirely different tool-call sequences, making it difficult for static permission configurations to cover all scenarios.77% similarUnverifiedWhen an Agent needs to interface with external systems and databases, capabilities should be encapsulated into scripts to avoid repeated probing by the Agent that leads to Token consumption and slower responses.75% similarUnverifiedAgent执行过程中一次用户请求背后可能隐藏着5-10次甚至更多的LLM调用和工具执行74% similarUnverified科研自动化 Agent 通常基于 LLM 的工具调用与任务规划能力，结合代码执行沙箱、文件系统访问、学术检索及 GitHub/Hugging Face API 等外部工具，形成感知-规划-执行-反馈的闭环74% similar
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