Экономия токенов 34‑64% с выбором инструментов AI

Smart Tool Selection: Achieving 34-64% Token Savings with Spring AI's Dynamic Tool Discovery #Spring Blog As AI agents connect to more services—Slack, GitHub, Jira, MCP servers—tool libraries grow rapidly. A typical multi-server setup can easily have 50+ tools consuming 55,000+ tokens before any conversation starts. Worse, tool selection accuracy degrades when models face 30+ similarly-named tools. The Tool Search Tool pattern, pioneered by Anthropic, addresses this: instead of loading all tool definitions upfront, the model discovers tools on-demand. It receives only a search tool initially, queries for capabilities when needed, and gets relevant tool definitions expanded into context. This achieves significant token savings while…

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