Server provides 5 well-named, read-only tools with complete input schemas and reasonable descriptions. Naming follows verb_noun convention (search, advanced-search, count-matches, list-files, list-file-types). All tools have descriptions 50-200+ characters. Input schemas are properly typed with descriptions for all parameters. However, output schemas are completely undocumented, the LLM must infer result structure from tool names alone. Error handling is minimal (basic stderr capture, no recovery guidance). No parameter constraints (enums for file types, bounds for numeric limits). Security is appropriate for read-only tools but path injection risks exist via the 'path' parameter. Tool composition is clean, each has single responsibility. Missing: output schema documentation, actionable error messages, input validation/constraints.

• Document output schema for each tool. Example: 'Returns { matches: [{file: string, line_number: number, text: string, match_positions: [{start: number, end: number}]}], total_matches: number, truncated: boolean }'. This lets LLMs structure downstream processing.
• Add enum constraints to 'fileType' parameter listing valid ripgrep types (js, py, go, rust, etc.) or reference a discovery tool: 'Call list-file-types first to see available file type filters.'
• Add bounds to numeric parameters: maxResults (1 - 10000, default 100), context (0 - 50, default 0). Include these constraints in both the description and JSON Schema minValue/maxValue.
• Enhance 'path' parameter description: 'Absolute or relative path to file(s) or directory. Must be within the project root (no parent directory traversal). Supports glob patterns (e.g., src/**/*.ts).'
• Implement structured error responses. Instead of raw stderr, catch ripgrep errors and return: { error: 'invalid_regex', message: 'Pattern contains unescaped special characters', suggestion: 'Escape backslashes (\\) and use raw strings (r"...") for regex.' }
• Add actionable recovery guidance in error messages. E.g., 'No matches found. Try: (1) list-files to verify the path exists, (2) remove filePattern restrictions, (3) disable case sensitivity if unsure of casing.'
• Consider pagination: add 'offset' parameter and return 'has_more: boolean' + 'next_offset: number' for large result sets.
• Add required field markers in inputSchema. Example: search has required: ['pattern', 'path']. Verify all boolean params have explicit default: false in schema (not just description).