This server has 7 tools with basic functionality but significant quality gaps. All tools are directly visible in server.py with explicit @mcp.tool() registrations. However, tool descriptions are minimal (10-70 chars), parameter documentation is sparse or missing, output schemas are undocumented, and error handling is absent. Tools 1-3 (get_last_vulnerabilities, get_exploited_vulnerabilities, get_critical_vulnerabilities) have empty input schemas {} but no documentation of what they return or how to use results. Tool 7 (query_vulnerabilities) has 13 parameters but most lack constraint documentation (min/max for numeric fields, date format specs, enum values for filters). No tool documents its return structure, and none include error recovery guidance. This is typical of a working but unmaintained integration layer that would cause LLM errors in production.

• Document output schemas for all tools. E.g., 'Returns a list of vulnerability objects with fields: id (string, CVE-XXXX-XXXXX), name, cvss_score (float, 0-10), epss_score (float, 0-1), published_date (ISO 8601 string), description (text).'
• Add concrete constraints to numeric parameters: 'fromScore: minimum CVSS score (float, 0 - 10.0), e.g. 7.5'; 'toScore: maximum CVSS score (float, 0 - 10.0)'.
• Add date format specs: 'fromDate: start date filter (ISO 8601 format, e.g. 2024-01-01)'.
• For id parameters, replace example values with formal constraints: Instead of 'e.g. CVE-2024-0864', use 'string matching pattern CVE-YYYY-NNNN' and validate input against a regex.
• Document result limits and pagination: 'Returns max 8 results, sorted newest first.' Or for query_vulnerabilities: 'Returns up to {size} results per page (default 20, max 100). Use page parameter to iterate. Total count returned in response metadata.'
• Add error handling and recovery guidance: Catch httpx exceptions and return structured errors. E.g., 'Vulnerability CVE-2024-0864 not found. Try query_vulnerabilities with text search instead.' Or: 'API error: service unavailable. Retry in 30 seconds.'
• For tools 1-3, expand descriptions to 50+ characters explaining use case: 'Retrieves the most recently reported 8 vulnerabilities from the ENISA database, sorted by publication date. Use to stay updated on latest threats.'
• Add parameter descriptions for query_vulnerabilities filters: 'vendor: filter by software vendor name (string, case-insensitive partial match, e.g. "microsoft")'.