This server has 10 tools with schemas and descriptions present, but exhibits several quality gaps that prevent a higher score. Tool names follow verb_noun convention (view_directory_tree, list_files, read_file_content, search_codebase, etc.), which is positive. However, descriptions are sparse (averaging ~50-100 chars, well below the 194-char baseline), lack context about WHEN to use each tool, and contain no guidance for LLM selection disambiguation. Parameter descriptions exist but are minimal, many lack format/constraint details. The search_codebase tool accepts file_extensions as an array with no enum constraint, inviting hallucinated file types. Error handling is absent from all tool definitions, no guidance on what happens on failure, whether errors are retryable, or how to recover. Output schemas are not documented at all, forcing LLMs to guess at response structure. The index_codebase tool is destructive (WRITE risk) but has no confirmation or dry-run pattern. Overall, this server reads like a basic integration without LLM-centric refinement.

• Document output schemas for all 10 tools. Each must specify field names, types, and nesting. E.g. list_files should return {files: [{name: string, size: number, path: string}], total: number}.
• Rewrite all descriptions in English (currently mostly Chinese). Expand to 100-200 chars. Include: WHAT the tool does, WHEN/WHY to use it (vs similar tools), WHAT it returns. Example: 'Search the codebase using semantic embeddings to find files conceptually related to a query. Use this for fuzzy intent matching (e.g. "authentication logic"); use search_by_filename for exact name matches. Returns up to 30 results with similarity scores.'
• Add min/max bounds to numeric parameters: max_depth (1-10), max_entries (1-1000), k (1-100), score_threshold (0.0-1.0), limit (1-100), max_results (1-100). State bounds in parameter descriptions.
• Constrain file_extensions parameter: either convert to enum (e.g. {enum: ['.py', '.js', '.java', '.go', '.rs', ...]}) or add description: 'Comma-separated file extensions (e.g. .py,.js,.java). Only indexed extensions will match.'
• Add confirmation pattern to index_codebase: require user approval before rebuilding index, or add a dry_run parameter that simulates indexing without persisting. Document that force_rebuild=true is irreversible.
• Document error handling for all tools: 'If path does not exist, returns error: {code: "NOT_FOUND", message: "Directory not found: <path>", suggestion: "Check path spelling or use list_files to explore available directories."}'. Include retryability guidance.

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

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