Server has 12 tools with explicit schemas and descriptions, but quality is inconsistent. All tools have descriptions (positive), but many are in Russian, limiting LLM utility in English-first environments. Schemas are present but lack depth: no enums for constrained inputs, no output schemas documented, no pagination support despite list tools. Parameter descriptions are minimal (avg ~30 chars vs baseline 72). No error handling guidance, no tool annotations (readOnlyHint/destructiveHint), no idempotency markers. Two write tools (create_component, update_component) lack confirmation/dry-run patterns. Tool naming is clear (verb_noun), but composition could be tighter, no batch operations despite multiple list tools.

• Translate all tool descriptions and parameter descriptions to English (or the primary language of your target LLM/agent). Russian descriptions severely limit cross-language agent compatibility.
• Add output schemas to every tool. Document the structure of returned objects, field types, and which fields are safe to chain into downstream tools (e.g., product_id from list_products → get_product).
• Add pagination parameters (limit: 1 - 100, offset: 0 - ∞) to all list_* tools. Document the default limit (e.g., 20) and max results in the tool description.
• Wrap create_component and update_component with a dry_run parameter or a separate confirm_* step. Agents should preview changes before committing irreversible modifications.
• Add tool annotations: mark read-only tools with readOnlyHint=true, write tools with destructiveHint=true, and idempotent operations with idempotentHint=true. This enables safer agent planning.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry