Unverified50% confidenceFactTime unknown
当MCP工具数量过多时，AI可靠性从100%下降到72%，因为上下文中注入了过多工具描述信息
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026
Sources
MCP vs CLI：Token成本差40倍，AI工程师如何选择
bilibili李太白阿白
Related Claims
Unverified当Token使用量超过60%-70%时，AI的输出质量会显著下降，推理能力明显降低75% similarUnverifiedCodeGraph基准测试显示开启MCP后工具调用次数减少约70%73% similarUnverifiedAI生成代码的可靠性存在不可预测的波动，可能90%时间好用但10%的离谱输出后果灾难性70% similarUnverifiedIn a 10-step automated process where AI achieves 95% accuracy per step, the overall success rate drops to approximately 60% (0.95^10 ≈ 0.60), demonstrating the 'error accumulation effect'.70% similarUnverified当对话达到约50%内存容量时，AI开始降低质量，出现重复无效建议和代码质量下降的现象69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/55382API
curl https://kongchang.com/api/v1/knowledge/claims/55382MCP
get_claim(id=55382)