Expired50% confidenceFactTime unknown
When the number of MCP tools is excessive, AI reliability drops from 100% to 72% because too many tool descriptions are injected into the context.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedWhen token usage exceeds 60%–70%, the AI's output quality degrades noticeably and its reasoning ability declines significantly.75% similarUnverifiedCodeGraph benchmark tests show that enabling MCP reduces the number of tool calls by approximately 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% similarUnverifiedWhen a conversation reaches approximately 50% memory capacity, AI begins to degrade in quality, exhibiting repeated ineffective suggestions and declining code quality.69% similar
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