Unverified50% confidenceSolutionExact time
A reliable Agent implementation should set a call limit and clear exit conditions, and should adapt or stop and seek human intervention when encountering timeouts, empty data, or insufficient permissions.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAgent可部署的软件分发模式降低了技术门槛，但部署可靠性取决于Agent的理解准确度，调试失败时普通用户可能缺乏排错能力74% similarUnverifiedIf the approval threshold is too loose, control is lost; if too strict, the benefits of automation are lost — the true balance is letting the Agent handle the vast majority of processes while inserting lightweight human confirmation only at critical decision nodes.73% similarUnverifiedThe stopping conditions for an Agent cannot be left entirely to the model itself to decide; external programs must pre-set hard limits such as maximum execution rounds, runtime, token consumption, and cost caps.72% similarUnverifiedWhen an Agent has low confidence in a decision it should proactively trigger human intervention, while directly passing through high-confidence routine operations.72% similarUnverified应赋予Agent最小权限，如只需读取日志的Agent不应拥有写入数据库能力，权限边界越清晰失控破坏范围越可控70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/908715API
curl https://kongchang.com/api/v1/knowledge/claims/908715MCP
get_claim(id=908715)