This server has critical definition gaps. The single tool 'execute_skill_action' lacks a visible input schema in the source code, only a description string is present. The description is generic (41 chars) and does not explain what parameters the tool accepts, what it returns, or when to use it. No parameter documentation exists. The tool appears to be a wrapper around an undocumented client method. The mcp_server.py file does not register tools with proper MCP schemas, it only prints a JSON status message, which is not valid MCP protocol. Tool definitions are inferred from the client.py file, not explicitly registered, triggering the hard cap at 50 for inferred tools. The server does not follow MCP tool registration patterns.

• Implement proper MCP tool registration in mcp_server.py using the MCP SDK. Define execute_skill_action with a complete JSON Schema input object including 'prompt_topic' (string, required) and 'tree_depth' (integer, 1-10, optional, default 3).
• Expand tool description to 100-150 chars explaining: 'Generate a hierarchical mindmap from a topic prompt. Returns markdown structure with concept nodes organized by depth. Use this to explore and visualize complex topics as interactive concept hierarchies.'
• Add parameter descriptions: 'prompt_topic: The main topic or concept to generate a mindmap for (e.g., "AI Agent Architecture"). tree_depth: Maximum depth of the concept hierarchy (1-10, default 3). Higher values produce more detailed maps.'
• Document the output schema: 'Returns an object with mindmap_markdown (string, markdown-formatted hierarchy), total_nodes_generated (integer, count of concept nodes), root_branches (array of strings, top-level concept names).'
• Add error handling guidance: 'If prompt_topic is empty, return error "prompt_topic is required". If tree_depth exceeds 10, return error "tree_depth must be 1-10, got {value}".' Include recovery hints.