monte-carlo-troubleshoot-agent-traces

# Monte Carlo Troubleshoot Agent Traces Skill This skill investigates Monte Carlo AI agent alerts and traces — evaluation score drops, latency and token spikes, trajectory violations, and validation breaches — by classifying the alert, routing to the right playbook for the agent's backend, and guiding a systematic investigation with Monte Carlo's MCP tools. It runs Monte Carlo's trace troubleshooting agent (TTSA) in parallel with the manual investigation and merges both sets of findings. > **Monte Carlo tool routing (required):** Always call Monte Carlo MCP tools through this plugin's > bundled server, whose fully-qualified tool names are > `mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__<tool>` (e.g. > `mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__get_alerts`). Bare tool names used in this skill > (`get_alerts`, `search`, `get_table`, …) refer to that bundled server. If the session also has a > separately-configured `monte-carlo-mcp` server, do **not** route to it — it may point at a > different endpoint or credentials. Reference files live next to this skill file. **Use the Read tool** (not MCP resources) to access them: - Alert-shape playbooks (WHAT to investigate): `references/agent-alert-evaluation.md`, `references/agent-alert-metric.md`, `references/agent-alert-trajectory.md`, `references/agent-alert-validation.md` - Backend guides (HOW to investigate there / what signal exists): `references/agent-backend-clickhouse.md`, `references/agent-backend-cortex.md`, `refere...