AI MCP gateway permission review workflow: checking capability scope before one broad token quietly becomes the system policy

Gateway risk usually starts before the first tool call.

Teams often talk about dangerous tool use as if the problem begins at runtime. In practice, many failures start earlier when an MCP gateway is given a broad credential, wide capability map, or vague service boundary because it seems easier to unblock experimentation that way. Once that broad permission surface exists, every later workflow inherits the same hidden risk. An AI MCP gateway permission review workflow forces the team to inspect what the gateway can do before it is normalized as the default access layer. The useful role for AI is classifying capabilities, spotting unnecessary scope, and packaging the review packet. It is not deciding that a broad permission set is safe because the current task only plans to use a small part of it.