Unverified50% confidenceOpinionExact time
The quality of the orchestrator often determines the reliability of an Agent in production more than the underlying model does.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
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75% similarUnverifiedThe focus of evaluation is shifting from the quality of model text output to the ability of agents to complete end-to-end tasks, with evaluation dimensions expanding from a single accuracy metric to multi-dimensional metrics including task completion rate, step efficiency, error recovery capability, and time overhead.70% similarUnverifiedCall volume rankings reflect choices made in real production environments and are influenced by engineering factors such as price, response speed, stability, and API compatibility, making them fundamentally different from benchmarks such as MMLU and HumanEval70% similarUnverifiedWhen using this workflow, attention should still be paid to transcription accuracy, the reliability of agent-generated code, and whether automated PRs conform to project standards; the agent's output should serve as a starting point rather than an endpoint and requires human review.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1034059API
curl https://kongchang.com/api/v1/knowledge/claims/1034059MCP
get_claim(id=1034059)