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English(EN) Too Many MCP Tools: I Gave My Agent 61 and It Got Dumber

AI 代理工具过多会降低性能,作者发现

给 AI 代理添加过多的工具会严重降低其性能,导致其响应“更笨”且不准确。这是因为工具选择是一个分类问题,当工具数量庞大时,它们的描述会变得混淆,导致代理自信地选择了错误的工具。这种“重试污染”会用不相关的结果填充上下文窗口,使代理更难找到正确的解决方案。作者建议每个代理的工具数量硬性限制在 10-15 个,以保持准确性。 AI

影响 过多的工具集成会阻碍 AI 代理的效率和准确性,表明需要对工具预算进行仔细管理。

排序理由 该条目讨论了用户关于 AI 代理工具选择的经验和发现,而不是正式发布或研究论文。

在 dev.to — LLM tag 阅读 →

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AI 代理工具过多会降低性能,作者发现

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该条目讨论了用户关于 AI 代理工具选择的经验和发现,而不是正式发布或研究论文。
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  1. dev.to — LLM tag TIER_1 English(EN) · jidonglab ·

    MCP工具太多:我给了我的代理61个,它反而变笨了

    <p>I asked my agent to close a stale GitHub issue.</p> <p>It searched Notion. Twice. Then it called a Slack tool named <code>search_messages</code>, found nothing, apologized, and tried Notion again. The GitHub tool it needed was sitting right there in its tool list, four entries…