Unverified50% confidenceOpinionExact time
ruOS's success depends on the accuracy of instruction understanding, the reliability of operation execution, and the granularity of permission control.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
Unverified函数调用的可靠性高度依赖于工具描述的质量，清晰的参数说明和使用示例往往比模型本身能力更能决定工具调用成功率67% similarUnverifiedCore metrics for measuring agent long-range reliability include task success rate, tool call accuracy, recovery rate, cost per successful task, and number of human interventions.64% similarUnverifiedTraditional benchmarks tend to focus on accuracy and inference speed, but task completion rate and convergence stability are equally important or even more critical in real-world engineering scenarios.63% similarUnverifiedMainstream programming capability evaluations typically focus on dimensions such as functional correctness, code quality, complex task handling, and response speed and stability.63% similarUnverifiedMeasuring tool-call efficiency typically involves key metrics such as call success rate (the proportion that pass validation on the first call), average number of call turns, end-to-end latency, and degree of parallelization.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1071327API
curl https://kongchang.com/api/v1/knowledge/claims/1071327MCP
get_claim(id=1071327)