Critical gaps across all dimensions. Tool names lack action verbs (process_quit_company, get_company_history, find_company_info are acceptable but descriptions are in Vietnamese, limiting LLM understanding). Descriptions are present but minimal (10-30 chars in English translation), and parameter descriptions are absent. No output schemas documented. No error handling guidance. Tools appear to load from hardcoded JSON files with no validation or recovery paths.

• Add English descriptions to all tools. Translate Vietnamese descriptions and expand to 50-150 chars following pattern:tool-description. Example: 'process_quit_company' → 'Retrieve the employee resignation process, including notice periods, required documents, exit interview steps, and final settlement procedures.'
• Define input schemas for process_quit_company and get_company_history. If they truly accept no parameters, document why. If they should accept company_name (as docstrings suggest), add it as a required string parameter with description and validation rules.
• Document output schemas for all tools. Specify the structure of returned dicts/lists. Example for find_company_info: 'Returns list of {filename: string, data: object} where data contains company fields like name, history, contact_info.'
• Add error handling that returns structured error objects with actionable guidance. Example: '{"error": "File not found", "recovery": "Ensure sato_history.json exists in the info directory"}' instead of silent empty returns.
• Add parameter constraints to find_company_info. Specify: keyword must be 1-100 chars, search is case-insensitive, results capped at 50 items. Document these in the parameter description.