Yes, with the usual care.

Findings (2)

• highWrite-action tools reachable without authenticationauth.open-write
• lowUnusually long tool description (over 2,000 characters)poison.long-description

  tool analyze_schedule: …Resolve a Rhylthyme program onto the clock and report what the live runner will do: every step's start/end (seconds from start and, if you pass `finishAt` or `startAt`, ISO wall-clock times), total makespan, the critical path, `bindingConstraints` (what gates each critical-path edge — an in-flight cap, a saturated task, an offset, or a plain dependency), resource conflicts tagged `kind: "maxConcurrent"` (more steps claim a task than its maxConcurrent allows) or `kind: "inFlight"` (more instances of a replicated step are between it and its barrier than `replicates.maxInFlight` allows), `inFlight` windows per replicated step, peak concurrency vs. declared actors, and per-track slack (instances get their own sub-track rows, tagged with `parentTrackId` / `instanceOf`). Use it to answer 'when do I start the potatoes so everything is ready at 6pm?' (pass finishAt), to find why a schedule is longer than expected (critical path and binding constraints — e.g. the cooling rack, not the oven), or to check equipment contention before visualizing. Pure computation; also returns validation findings so you can fix problems in the same turn. **Analysing against real history.** Pass `history` (run records from **load_run**, or from `rhylthyme runs` on disk) and every step with enough measurements gains `predicted: {seconds, low, high, basis, n}` beside its planned duration, plus top-level `predictedMakespan` and `predictedCriticalPath`. `basis` is `"identical"` (runs of the same program version, environment and variance factors — their median), `"model"` (a per-step regression on the factors that correlate) or `"none"` (no usable measurement). Simpler still: give `program_id` (a UUID from **list_my_programs**) plus `token` and the tool loads the caller's own recorded runs of that program for you. `useDurations: "predicted"` then recomputes the makespan, itinerary, critical path and conflicts from the predicted durations instead of the authored ones; the default stays `"planned"` so a program is analysed on what it says.…