Critical failures across all dimensions. Tools use a generic action-dispatch pattern with free-form JSON params instead of explicit, typed parameters. No input schemas visible in source, only 'action' enum and 'params_json' string. Descriptions are present but generic (10-50 chars for most). No output schemas documented. Tool #5 (caddy_ingest_topology) has zero input parameters, making it impossible to control behavior. Error handling absent. This server prioritizes internal flexibility over LLM usability.

• Replace action-dispatch pattern with explicit, typed tool parameters. Instead of caddy_mcp_config with action='get_config', create separate tools: get_caddy_config, post_caddy_config, delete_caddy_config. Each tool has its own schema with typed, described parameters.
• Expand tool descriptions to 100-200 chars. Include WHEN to use (e.g., 'Call this to retrieve the current Caddy configuration before making changes'), WHAT it returns (e.g., 'Returns JSON config object with routes, upstreams, and TLS settings'), and whether it modifies state (e.g., 'Destructive: stops the Caddy server').
• Document output schemas for all tools. E.g., get_caddy_config returns {config: object, version: string, timestamp: string}. This enables LLMs to chain tools and extract required IDs.
• Add error handling guidance. E.g., if action is invalid, return 'Invalid action. Valid actions: get_config, post_config, ... Call get_caddy_config to retrieve current state.' If params_json is malformed, return 'Invalid JSON in params_json. Expected: {"key": "value"}. Example: {"id": "my-route"}'.
• For caddy_ingest_topology, add input parameters: topology_type (enum: 'reverse_proxy', 'routes', 'all'), filters (optional object), output_format (enum: 'json', 'graph'). This makes the tool composable and controllable by LLMs.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry