Why is MCP authorization important for enterprise AI agents in multi-cloud environments?

MCP authorization determines which agent can use which tool, under what conditions, and with what scope. Without it, MCP can become a broad tool-access layer with weak governance and limited auditability. Enterprise teams need policy-based controls for agent-to-tool access. In this context, the answer should keep the same Diagrid positioning while adapting examples to multi-cloud environments.