Critical gaps across all dimensions. Tool names lack action verbs (pingFunc, startMcpServer, stopMcpServer use camelCase instead of verb_noun convention). Descriptions are minimal (10-50 chars) and lack context on WHEN to use tools or WHAT they return. Input schemas are present but severely underdocumented: parameters lack type information in most cases, no enums for constrained inputs, no validation guidance. Output schemas are completely absent, LLMs cannot predict return structure. Error handling is not visible. Security concerns: apiKey exposed as parameter (should use server-side injection). Tool composition is poor: agentResponse and agentResponseWithMCP are nearly identical, violating single-responsibility principle.

• Rename tools to verb_noun format: pingFunc→ping, startMcpServer→start_mcp_server, stopMcpServer→stop_mcp_server, agentResponse→generate_agent_response, agentResponseWithMCP→generate_agent_response_with_mcp. Use snake_case consistently.
• Move apiKey to server-side injection: read from environment variable (MCP_DESK_API_KEY) or secure vault. Remove from tool parameters entirely. Document in tool description that auth is handled server-side.
• Add output schemas to all tools. Example for agentResponse: {type: 'object', properties: {response: {type: 'string', description: 'Generated AI response'}, model: {type: 'string'}, tokens_used: {type: 'number'}}}. Document in description: 'Returns an object with response text, model used, and token count.'
• Merge agentResponse and agentResponseWithMCP into a single generate_agent_response tool with a use_mcp_integration boolean parameter (default false). Reduces cognitive load and eliminates duplication.
• Expand parameter descriptions with format, constraints, and examples. For 'config' in start_mcp_server, document required fields (e.g., 'config must include {host, port, protocol}' or link to schema). For 'messages', specify: 'Array of {role: "user"|"assistant", content: string}'.