{
 "server": "com.wolfram/mcp",
 "url": "https://agenttools.wolfram.com/mcp",
 "verdict": "high-severity findings present",
 "current_tool_count": 3,
 "tools_ever_seen": 3,
 "drift_events": 3,
 "findings_by_severity": {
  "high": 2
 },
 "last_probe": {
  "status": "OK",
  "n_tools": 3,
  "ran_at": "2026-10-23T06:17:43.230Z"
 },
 "current_tools": [
  "WolframAlpha",
  "WolframContext",
  "WolframLanguageEvaluator"
 ],
 "drift": [
  {
   "tool": "WolframContext",
   "kind": "mutated",
   "severity": "high",
   "detected_at": "2026-10-23T06:17:43.230Z"
  },
  {
   "tool": "WolframLanguageEvaluator",
   "kind": "mutated",
   "severity": "high",
   "detected_at": "2026-10-23T06:17:43.230Z"
  },
  {
   "tool": "WolframAlpha",
   "kind": "mutated",
   "severity": "medium",
   "detected_at": "2026-10-23T06:17:43.230Z"
  }
 ],
 "findings": [
  {
   "tool": "WolframContext",
   "detector": "model_directed_instruction",
   "severity": "high",
   "field": "description",
   "evidence": "rieve any relevant information from Wolfram. Always use this tool at the start of new conversations or if the topic chan",
   "seen_at": "2026-10-23T06:17:43.230Z"
  },
  {
   "tool": "WolframLanguageEvaluator",
   "detector": "model_directed_instruction",
   "severity": "high",
   "field": "description",
   "evidence": "valuation, so it works like macro expansion. You should ALWAYS use this natural language input to obtain things like `Quantity`",
   "seen_at": "2026-10-23T06:17:43.230Z"
  }
 ],
 "probes": [
  {
   "status": "OK",
   "n_tools": 3,
   "ran_at": "2026-10-23T06:17:43.230Z"
  },
  {
   "status": "OK",
   "n_tools": 3,
   "ran_at": "2026-08-14T06:17:15.856Z"
  }
 ]
}