TL;DR: MCP is useful when the model needs to make a judgment, work through ambiguity, or use tools in context. But it is usually a higher-cost way to run a known operation. The model spends tokens inspecting tools, choosing actions, preparing arguments, reading responses, and reasoning through outcomes. If the job has
