This server has a single tool 'execute_skill_action' with critical definition gaps. The tool has a minimal description (58 chars) that lacks actionable context for LLM selection. No input schema is visible in the source code, the mcp_server.py only prints a JSON status message without registering tools via proper MCP protocol. The client.py and example_usage.py demonstrate a working implementation but are NOT part of the MCP server definition. Tool parameters, return schema, error handling, and security considerations are completely absent from the MCP interface.

• Define a complete JSON Schema for execute_skill_action with input parameters: interface (string, enum or pattern), sample_window_seconds (integer, min 1, max 3600). Include descriptions for each parameter explaining valid values and constraints.
• Expand tool description to 100-200 characters explaining: 'Analyzes network traffic on a specified interface to detect DDoS and anomalies. Returns threat classification, mitigation status, and traffic metrics. Call this to assess current network security posture.'
• Document the output schema with typed fields: traffic_volume_gbps (number), mitigation_status (enum: ACTIVE_PROTECTION_ENFORCED, MONITORING, DISABLED), threats_neutralized (array of objects with threat_type, source_ips_count, rate_rps, pattern, mitigation_action), dropped_malicious_pct (number 0-100), legitimate_traffic_impact_pct (number 0-100).
• Add error handling responses: 'Interface not found' (user-fixable: suggest available interfaces), 'Permission denied' (user-fixable: check network access), 'Timeout after 30s' (retryable: try again with smaller sample_window_seconds).
• Implement proper MCP tool registration in mcp_server.py using the MCP SDK or protocol, not just a JSON status print. Register the tool with name, description, and inputSchema as a proper JSON Schema object.