All 5 tools have basic verb-noun naming (get_*) and descriptions present, but quality is severely limited. Descriptions are extremely terse (15-50 chars, well below the 194-char baseline), providing minimal context for LLM tool selection. Input schemas are present but minimal, only 'id' parameter with type 'integer' and basic description. No output schemas documented anywhere. No parameter constraints (enums, ranges, formats). No error handling guidance. No indication of idempotency, side effects, or prerequisites. Tool descriptions lack WHEN/WHY context that LLMs need for selection. The getSalary description contains a typo ('reposting' instead of 'reporting'). No tool annotations (readOnlyHint present in metadata but not in schema). Overall, definitions are skeletal, functional but far below production quality.

• Expand all tool descriptions to 100-200 chars. Include WHAT (what data is returned), WHEN (when to call this vs similar tools), and any prerequisites. Example: 'Get employee details including name, email, department, and manager. Use this to retrieve full employee profile. Call getReportingManagerDetails separately if you need manager-specific info.'
• Document output schemas for all tools. Specify returned fields, types, and which fields are suitable for chaining to other tools. Example: getEmployeeDetails should return {employee_id, name, email, department_id, manager_id, ...} so LLMs know they can pass department_id to getEmployeesByDepartment.
• Rename generic 'id' parameter to explicit names: employee_id, department_id, manager_id. Add parameter descriptions with constraints: 'employee_id (integer, 1-999999): The unique identifier of the employee.'
• Add error handling guidance to descriptions. Example: 'Returns 404 if employee not found. If you have only a name, call search_employees() first.'
• Implement pagination for getEmployeesByDepartment. Add limit and offset parameters (or cursor), return total_count, and cap results at 50. Document in description: 'Returns up to 50 employees per page.'