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Scored across 9 tools
Each tool has a distinct primary job—observe for structured reads, look for vision QA, run for scripted execution, playtest for session lifecycle, input for synthetic control, events for journal backfill, skills for reusable programs, job for async tracking, cloud for Open Cloud. A couple of near-overlaps remain (observe status/logs versus playtest status and the events journal), but descriptions generally call out when to use each.
All tool names are lowercase single words in a consistent shorthand style (observe, look, run, playtest, input, events, skills, job, cloud). No casing or separator conventions are mixed, making the naming predictable.
Nine top-level tools is well-scoped for a Studio automation server; each tool covers a necessary capability, and the broad observe modes are bundled under one read tool rather than fragmented into many MCP tools. Nothing feels redundant at the top level.
The surface covers the full loop: inspect (observe), visually verify (look), mutate and script (run), control playtests (playtest), send input (input), consume events (events), persist reusable programs (skills), manage long jobs (job), and access Open Cloud (cloud). The run tool's S API also provides an escape hatch for anything not explicitly modeled, so there are no obvious dead ends.