Lighthouse demonstrates solid tool design with clear naming conventions (verb_noun pattern: window_info, list_files, read_file, search, write_file, edit_file, make_dir, delete_file, request_access). All 9 tools have descriptions (avg ~120 chars, within 10-1024 baseline). Input schemas are present with type definitions and parameter descriptions. Security is a strength: built-in redaction of API keys/tokens, path traversal prevention, and audit logging. However, output schemas are not documented in the source code provided, and error handling lacks recovery guidance. Tool composition is clean (single responsibility per tool), but descriptions could be more LLM-optimized with explicit WHEN/WHY guidance.

• Document output schemas for all 9 tools. Example: list_files should return {files: [{name: string, size: int, mtime: ISO8601}], total: int, truncated: bool}. This enables LLMs to chain calls and extract required fields.
• Add recovery guidance to error scenarios. E.g., read_file description: 'If file exceeds max_file_kb limit, returns error with file size. Call request_access() to raise limits, or split large files into chunks.'
• Implement dry-run or confirmation pattern for destructive tools. Add optional 'dry_run: bool' parameter to delete_file, write_file, edit_file. Return preview of changes without executing.
• Specify path constraints explicitly in parameter descriptions: max 1024 chars, POSIX format, no '..' or symlinks, relative to window root. Include validation error examples.
• Expand edit_file 'edits' parameter schema: document each edit object as {line: int, op: 'insert'|'replace'|'delete', content?: string}. Provide an example edit array.