My custom agent used 87% fewer tokens when I gave it Skills for its MCP tools
Read OriginalThe article details an experiment measuring the token consumption of custom AI agents built with Google's Agent Development Kit (ADK). It compares different configurations, including agents using only instructions, those using Model Context Protocol (MCP) tools, and those enhanced with skills. The key finding is that a well-configured agent using MCPs and skills achieved an 87% reduction in token usage compared to a baseline, highlighting optimization techniques for cost-effective agent development in cloud FinOps scenarios.
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