This MCP server exposes 17 tools for 1С (Russian enterprise platform) metadata manipulation. While tool names follow verb-noun patterns and input schemas are present with type definitions, there are critical gaps in quality: (1) All descriptions are in Russian, making them inaccessible to English-speaking LLMs and agents. (2) Descriptions are extremely terse (10-40 chars) and lack context about when/why to use each tool. (3) Parameter descriptions, while present, are similarly brief and often domain-specific without explanation. (4) No output schemas are documented anywhere in the visible source. (5) No error handling guidance. (6) Tools manipulate files on disk with WRITE risk, but no confirmation patterns or dry-run modes are visible. (7) The codebase provided is incomplete (detect_tools.py script is cut off mid-function). The server appears functional for domain experts working in Russian 1С ecosystems, but fails to meet production-grade agent tool standards for discoverability, safety, and internationalization.

• Translate all tool and parameter descriptions to English. Provide Russian as an optional secondary language, but English is required for LLM compatibility. Use professional, LLM-optimized descriptions (50 - 150 chars per tool, 30 - 80 chars per param).
• Document output schemas for every tool. Use JSON Schema format. Specify fields, types, and when they are present (e.g., 'status: enum[success|error], details: string').
• Add confirmation patterns for all WRITE operations. Implement a 'dry_run' parameter or a separate 'confirm_*' step (e.g., 'confirm_add_field' after 'add_field_preview'). Return previews of changes before applying them.
• Convert open-ended parameters to enums or regex patterns. For example: 'role.grant' should enumerate valid rights (Read, Update, Delete, Insert, View, etc.). 'child.add' should clearly document which params are required for each 'kind' value.
• Add explicit error handling. Return structured error responses with actionable messages. E.g., 'Invalid type_ref: got "UnknownType". Valid types: String, Number, Date, CatalogRef.*'.
• Standardize naming to verb_noun (add_column, set_synonym, get_query) instead of dot/hyphen notation. This matches the Arcade pattern baselines and improves LLM discoverability.
• Document parameter relationships. For 'child.add', explicitly state which params are required for each 'kind' enum value. Use pattern:tool-description guidance.
• Clarify file path semantics. If paths are filesystem-local, validate them and return clear errors for missing files. If the server is remote, consider accepting URIs or resource IDs instead. Provide examples in param descriptions.