DataPilotFlow exposes 7 tools via fastmcp/HTTP with complete input schemas and descriptions. Naming follows verb_noun convention (create_tool, list_tools, get_tool, update_tool, delete_tool, generate_instructions, generate_assistant_instructions). All tools have descriptions (range 50 - 150 chars) and typed parameters with descriptions. However, output schemas are not documented in the source code provided, critical for LLM planning. Error handling guidance is absent. Parameter descriptions lack constraint details (e.g., valid enum values for tool_type, limits on array sizes). No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite clear risk levels (WRITE, DESTRUCTIVE). Composition is sound, tools are single-responsibility and chainable (create_tool → list_tools → get_tool → update_tool → delete_tool). Security: no visible secrets in parameters, but no audit logging or permission gates documented.

• Document output schemas for all tools. Example: create_tool returns {tool_id: string, name: string, created_at: ISO8601}. Include all fields needed for downstream tool calls.
• Add tool annotations: mark delete_tool with destructiveHint=true, create_tool and update_tool with idempotentHint=false (or true if idempotent), list_tools and get_tool with readOnlyHint=true.
• Enumerate valid values in parameter descriptions. Replace 'tool_type: "prompt_based" or "mcp_remote"' with explicit constraint: 'tool_type: one of ["prompt_based", "mcp_remote"]'. Add min/max for array parameters (tags: 0-10 items).
• Add error handling guidance. Example: 'If tool_type is invalid, returns 400 with message "Invalid tool_type: must be prompt_based or mcp_remote". If name already exists, returns 409 with message "Tool name already exists. Try update_tool() instead."'
• Document LLM provider/model validation and timeout behavior for generate_instructions and generate_assistant_instructions. Include fallback guidance if provider is unavailable.