Each tool targets a distinct action or resource: read operations are separated into entities, relationships, and diagram parsing, while generate_sql is clearly distinct from create_schema since one only outputs DDL and the other executes it. The API server lifecycle is also cleanly split into start, stop, and endpoint inspection. No two tools appear likely to be confused.

All tool names follow a consistent lower_snake_case verb_noun convention. The verbs clearly indicate the action being taken, such as list, get, validate, generate, create, drop, start, and stop. The minor use of both list and get for read operations is not a meaningful inconsistency.

With 12 tools, the server is well-scoped for its combined purpose of parsing Mermaid ER diagrams, managing PostgreSQL schema, and controlling an API server. Each tool supports a distinct part of the workflow without unnecessary duplication. The count fits comfortably within the ideal range.

The core lifecycle is well covered: parse and validate the diagram, inspect entities and relationships, generate and execute SQL, drop the schema, and start/stop the API server. Minor gaps exist, such as no tool for incremental schema updates or altering existing tables, but these are not essential to the stated purpose. Overall, the surface is complete enough for the primary workflow.