This server demonstrates significant gaps in definition quality. While all 7 tools are registered with descriptions, most descriptions lack sufficient detail for LLM decision-making, parameter schemas are minimally specified, and there is no structured output documentation. Tool naming is reasonably clear (analyze_*, check_*, scan_*, generate_*), but parameter definitions are sparse. Two tools (analyze_code_security, scan_project_dependencies, analyze_docker_security, scan_kubernetes_config, generate_security_report) have descriptions and parameter hints in Chinese mixed with English, reducing clarity for English-language LLM agents. No explicit output schemas are documented, and error handling guidance is absent. The server relies on returned Dict[str, Any] with no structure definition.

• Document explicit output schemas for each tool. Example: analyze_indicator should return {indicator: str, type: str, overall_reputation: str, confidence: float, sources: [{name: str, verdict: str, confidence: float}], timestamp: str, errors: [str]}.
• Convert all descriptions to English and expand from 20 - 100 chars to 50 - 200 chars. Include WHAT the tool does, WHEN to use it, and WHAT it returns. Example: 'Analyze a security indicator (IP, domain, hash, URL) against multiple threat intelligence APIs. Returns reputation score (malicious/clean/unknown), confidence (0-100), and detailed source results. Use this first when triaging unknown indicators.'
• Replace chart_type and language parameter descriptions with enum constraints in the schema. E.g., language: {type: 'string', enum: ['auto', 'python', 'javascript', ...], description: 'Programming language for code analysis. auto detects from content.'}
• Add error recovery guidance to analyze_indicator and check_api_status. Example error return: {error: 'API timeout after 10s. Possible causes: invalid indicator format or rate limit. Suggestion: Verify indicator format (IP, domain, hash, URL) and retry in 30 seconds, or call check_api_status() to verify API keys.'}
• Clarify parameter types in schemas. code_content, dockerfile_content, yaml_content should specify max length (e.g., max 50KB) and encoding (UTF-8). project_files dict values should be string type with max size per file.
• Add pagination/batching guidance to scan_project_dependencies. Accept limit param (default 10, max 100) and return pagination token for large repos. Document: 'For projects with >100 dependency files, process in batches using limit and pagination token.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry