## Befund (Batch-Lauf 2026-08-06, Liste "Bandel.Hub")
maxParallelExecutions = 5, 23 Geschwister-Tasks auf demselben Plugin. Die Parallelitaet hat die
Ausfuehrung verkuerzt, aber die Konfliktlast erhoeht: eine CSS-Datei wurde von 10 Tasks
angefasst, drei Razor-Dateien von je 6. Der Engpass des Gesamtdurchlaufs war nicht die
Ausfuehrung, sondern Review und Merge — die sind zwingend seriell. Netto wa
ClaudeDo-Task: 89f989e0-4fcf-43f5-a802-11d63df7a6d1
MaxTimeoutSeconds was 170s against runs that take tens of minutes, forcing
a dozen full-context wait rounds per long-running batch. Raise it to 900s
and raise MCP_TOOL_TIMEOUT in lockstep (ClaudeProcess + every
InteractiveLaunchSpecService launch spec) to 930000ms so the client
connection actually stays open that long instead of aborting first.
Add get_queue_state (QueueStateMcpTools): configured vs. effective
parallel-slot count (via QueueService.GetSlotCountsAsync, extracted from
the former GetEffectiveMaxParallelAsync), active slots with taskId +
startedAt including the run_task_now override slot, and queued tasks in
pick order -- so a caller can observe queue occupancy instead of inferring
it from maxParallelExecutions.
mika kuns