Data archiving and migration requirements are considered early, so that formats and data structures work efficiently: data with different retention periods sharing the same structures is hard to archive and to destroy when no longer required, so keeping data with different retention periods in separate structures can help at the cost of complexity; custom data formats complicate migration while standard formats assist extraction; static and dynamic data combined in an inseparable form complicates migration; and unclear data ownership means data is not disposed of when its retention period ends, or makes those decisions harder than they need to be.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.