Connecting multiple MCP servers to an AI agent incurs significant token costs, primarily from tool definitions and tool call outputs. Anthropic's Claude Code now defaults to lazy loading for tool definitions, reducing token usage by approximately 85% and improving accuracy by minimizing decision paralysis. This client-side solution addresses the fixed cost of tool definitions, but the variable cost of tool output remains a challenge, requiring alternative strategies like code execution to manage large datasets. AI
IMPACT Lazy loading of tool definitions in AI agents can significantly reduce operational costs and improve efficiency by managing token consumption.
RANK_REASON The article discusses a technical implementation detail (lazy loading) for managing token costs in AI agents using MCP servers, which is a product/infra improvement rather than a core AI release or research.
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