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Home/Cloud & DevOps/Empowering Agents: Enabling Self-Discovery of Tools with Meta-Tool Pattern
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Empowering Agents: Enabling Self-Discovery of Tools with Meta-Tool Pattern

TL;DR A 200-tool MCP setup burns 150–220k tokens at session start; a two-meta-tool proxy cuts that to ~2,000 tokens — a 98–99% reduction. At $3/million input tokens and 20 sessions/day, that's $270/month down to $3/month. The pattern: one discover_tools(query) meta-tool and one call_tool(name, args)

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AiFeed24 Team·⏱ 1 min read·Cloud & DevOps
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Tags:#cloud-computing#ai-tools#token-economy#meta-learning

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