Single-tool server with a well-documented parse_time tool. Tool has a clear action verb in the name, comprehensive description covering supported expressions, and proper parameter documentation with type definitions. Input schema includes expression and timezone parameters with descriptions. Output structure is documented in the docstring. However, the tool lacks input validation documentation, error handling guidance, and structured output schema definition. No tool annotations (readOnlyHint, idempotentHint) are visible. The description is LLM-optimized and domain-specific, but the implementation separates the handler from the tool decorator in a way that makes direct schema verification complex. The server is simple but not exceptional.

• Add tool annotations to the @mcp.tool decorator: declare readOnlyHint=true and idempotentHint=true to explicitly signal that parse_time does not modify state and is safe to retry.
• Document the output schema formally. Define a Pydantic model in the tool decorator or add a 'schema' field to the tool definition showing the structure: {success: bool, parsed: {value: str|list, is_range: bool, is_date_only: bool, original_expression: str, confidence: float} | null, error: string | null}.
• Enhance error messages with recovery guidance. Instead of 'Invalid timezone', return 'Invalid timezone: {value}. Use IANA standard names like Asia/Shanghai, UTC, America/New_York.'
• Add validation constraints to parameter descriptions: 'expression: Chinese time expression (1-200 characters, required)' and 'timezone: IANA timezone identifier (e.g., Asia/Shanghai, UTC, America/New_York; defaults to Asia/Shanghai)'.
• Consider adding a discover_supported_expressions tool or documenting common patterns in the server instructions to help LLMs understand what expressions are recognized without trial-and-error.
• Add per-field success indicators for complex results. If parsing a time range succeeds but confidence is low (< 0.7), indicate this so the LLM can offer alternatives to the user.