This is a Python SDK wrapper, not an MCP server. Tool definitions are inferred from method signatures in scalekit/tools.py and scalekit/domain.py, not explicitly registered via MCP protocol. Schemas are partially visible but lack complete type information for nested objects. Descriptions are present but generic (10-50 chars for most tools). No evidence of error handling guidance, output schema documentation, or LLM-optimized descriptions. The 'execute_tool' and 'create_domain' tools have ambiguous parameter semantics (e.g., 'params' is untyped object). No tool annotations (readOnlyHint, destructiveHint) despite clear risk levels. This appears to be an SDK that exposes Scalekit API methods as tools, not a production-grade MCP server.

• Implement an actual MCP server (e.g., using mcp.server.Server) that explicitly registers tools with Tool objects, not inferred from SDK methods.
• Expand tool descriptions to 50-200 characters, explaining WHAT each tool does, WHEN to use it, and any prerequisites. E.g., 'list_tools: Retrieve all available tools. Use this to discover what integrations are available before calling execute_tool.'
• Add tool annotations: mark execute_tool and create_domain with readOnlyHint=false, mark delete_domain with destructiveHint=true, and mark idempotent tools with idempotentHint=true.
• Define the schema for execute_tool's 'params' parameter: replace type:object with explicit properties (e.g., properties: {param_name: {type: string}, param_value: {type: string}}) or document the expected structure per tool.
• Add error handling guidance to each tool description: 'Returns 404 if tool not found. Returns 403 if user lacks permission to execute. Retry on 5xx errors.'