This server has basic tool definitions with adequate parameter schemas and descriptions, but falls short of production-grade quality. All 5 tools are explicitly registered with @mcp.tool() decorators and include docstrings. However, descriptions lack LLM-specific guidance on when to use each tool vs. alternatives, parameter descriptions are minimal, and output schemas are undocumented, tools return raw JSON strings rather than structured objects. Error handling is present but generic (no recovery guidance). The 'refresh_fal_models' tool is destructive but has no confirmation mechanism. No tool annotations (readOnlyHint/destructiveHint) are present.

• Add explicit output schema documentation to each tool docstring. Example for search_fal_models: 'Returns: list of {model_id: str, title: str, category: str, api_docs: str, pricing: str | null}'.
• Add tool annotations via MCP schema extensions (e.g., 'readOnlyHint': true for search/get/list; 'destructiveHint': true for refresh). This signals to clients which tools are safe and which require caution.
• Require explicit confirmation before refresh_fal_models executes. Either split into 'preview_refresh' (dry-run) + 'confirm_refresh' (execute), or add a 'confirm: bool' parameter that defaults to false.
• Document parameter constraints: limit should state '1 - 100', category should link to get_fal_categories() output as the valid enum. Add 'See get_fal_categories() to list valid options.' to list_fal_category description.
• Enhance error messages with recovery suggestions. E.g., 'Model "fal-ai/unknown" not found. Call search_fal_models("unknown") or get_fal_categories() to find valid IDs.'
• Document pagination: if results are truncated, return a total count and state the limit in the response. E.g., '{"query": "...", "limit": 10, "total": 142, "results": [...]}'. Add to docstring: 'Results are limited to the specified limit; call again with a higher limit for more.'
• Add LLM-specific use-case guidance to tool descriptions. E.g., 'Use search_fal_models when you know a keyword (e.g., "video generation"). Use list_fal_category when you want all models in a specific category (e.g., "text-to-image"). Call get_fal_categories() first if unsure which category to query.'