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Solving the LLM Efficiency Paradox: Deterministic Tool Selection via MCP

This story is from 2026-09-19. It is preserved in the archive; the latest stories are on the live feed.

We are currently witnessing a fundamental shift in how autonomous agents interact with external systems. While early implementations focused on simple capability—giving an agent the ability to call any tool—we are now hitting a wall of operational reality: the inefficiency of indiscriminate tool ca…

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  1. 2026-09-19 00:18 · DEV Community — AI
    Solving the LLM Efficiency Paradox: Deterministic Tool Selection via MCP

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