Stata GUI MCP has 12 tools with complete input schemas and descriptions, but quality is inconsistent. Tool names use verb_noun pattern (stata_run, stata_read_log) which is good. However, descriptions are in Chinese, making them inaccessible to most LLM contexts and reducing clarity. Parameter descriptions exist but are minimal (avg ~40 chars). No output schemas are documented, LLMs cannot predict return structure. Error handling is absent: no guidance on recovery, retryability, or actionable error messages. Security concerns: tools like stata_run and stata_write_dofile execute arbitrary code with minimal validation (only a basic blacklist of dangerous commands). No tool annotations (readOnlyHint, destructiveHint) despite clear read/write distinctions. Composition is reasonable, tools are single-purpose, but chaining is unclear without documented output schemas.

• Translate all tool descriptions and parameter descriptions to English. Use clear, concise language (50 - 200 chars per description) that explains WHAT the tool does, WHEN to use it, and any prerequisites.
• Document output schemas for all tools. For each tool, specify the JSON structure returned: field names, types, and descriptions. Example: stata_run returns {output: string, log_path: string, error?: string}.
• Add error handling guidance. For each tool, define error cases and recovery hints. Example: 'If Stata COM session disconnects, call stata_status() to check connection, then retry. If still disconnected, restart Stata GUI.'
• Implement tool annotations in the MCP schema. Mark destructive tools (stata_run, stata_write_dofile, stata_install_package) with destructiveHint: true. Mark read-only tools (stata_read_log, stata_get_data_schema) with readOnlyHint: true.
• Add input validation and sanitization. Replace the blacklist approach with a whitelist of safe Stata commands or a sandboxed execution mode. Log all command executions with timestamp, user, and command text for audit trails.