feat(investigations): add event impact and work-order feedback flows

Add isolated burst and pollution impact evidence, parallel work-order workflows, persisted notifications and graph updates.

Checkpoint current code. Known follow-ups remain for large pollution result previews and graceful geometry failure.

app/mcp/calculation_jobs.py

@@ -166,6 +166,19 @@ async def read_calculation_job(scope, binding, tool, args) -> QueryResult:
         raise HTTPException(422, "offset requires a collection data_path")
     else:
         result.data = value
+    if not args.data_path and binding.task_id:
+        from app.mcp.presentation_preview import saved_burst_result_preview, saved_presentation_preview
+
+        presentation = saved_presentation_preview(result)
+        if presentation is not None and isinstance(result.data, dict):
+            result.data = {**result.data, "presentation": presentation}
+        if len(result.model_dump_json().encode()) > 11000:
+            preview = saved_burst_result_preview(result, str(binding.task_id))
+            if preview is not None:
+                result.data = preview
+                result.truncated = True
+                result.data_gaps = [*result.data_gaps,
+                    "Inline burst impact summary only; full node comparisons and geometry are saved in task evidence. Read the evidence resource or select a narrower data_path."]
     if len(result.model_dump_json().encode()) > 11000:
         raise HTTPException(413, "Select a narrower data_path or smaller result page")
     return result