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How Facio Picks the Right Tool for the Job: The Decision Framework Behind Tool Selection in AI Agents
How Facio Picks the Right Tool for the Job: The Decision Framework Behind Tool Selection in AI Agents
A Facio agent has 25+ native tools plus dynamic MCP extensions. Picking the wrong tool for the task is one of the most common failure modes — agents waste iterations, produce wrong results, or trigger unnecessary HITL gates because they reached for the wrong primitive. Facio's tool selection framework turns tool choice into a decision the agent reasons about explicitly. Here's how the framework works and why tool selection is a learnable skill.