Oliver Kieselbach
afa8750cbb
withToolTelemetry now receives the tool args and inspects the RESULT: handlers never throw (toolError returns isError:true), so the previous isError flag was effectively always false. Each MCP_TOOL_LOGGING line now carries soft-error status, resultChars + overCap (vs. the anthropic/maxResultSizeChars hint), a size-bounded args summary and the caller scope — the only telemetry that covers backend-free tools (search_docs, validate_rule, get_resource). New signals: search_zero_hit on the three search tools (unmet-demand signal) and tool_call_rejected for JSON-RPC-level Zod/unknown-tool rejections, sniffed at the /mcp route since the SDK answers those before any handler runs. Bicep default toolLoggingEnabled=true (desired state; live flag via az containerapp update). Docs: docs/mcp/tool-telemetry.md with KQL examples. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
AutopilotMonitor
Advanced monitoring and troubleshooting solution for Windows Autopilot deployments. Gain full visibility into every enrollment session with a detailed event timeline, fleet health dashboards, and session reporting. Define custom analysis rules to automatically detect issues and gather rules to collect targeted evidence. Retrieve diagnostics packages on demand, configure agent settings like auto-reboot behavior and automatic timezone adjustment — all managed centrally from the web dashboard.
Availability
Autopilot Monitor is publicly available — the Community plan is free. Sign in with your work account at autopilotmonitor.com; new organizations complete a short activation step after first sign-in.
Overview
Autopilot Monitor provides real-time tracking, intelligent diagnostics, and automated troubleshooting for Windows Autopilot enrollment processes. It consists of:
- Bootstrap Script — PowerShell script deployed via Intune that starts monitoring early in the enrollment process
- Monitoring Agent — Lightweight .NET application that collects telemetry and evidence during enrollment
- Backend API — Azure Functions-based ingestion and processing pipeline
- Web Dashboard — Next.js application for real-time monitoring and fleet analytics
Architecture
For detailed information about the system architecture, components, and data flow, see Architecture Documentation.
Documentation
Full admin documentation is available at docs.autopilotmonitor.com
License
This project uses a split licensing model:
- MIT License — Agent (
src/Agent/) and Shared library (src/Shared/) — unrestricted use on end-user devices - AGPL-3.0 — Backend (
src/Backend/), Web Dashboard (src/Web/), and MCP Server (src/McpServer/) — server-side components remain open source
See LICENSE for full details.