This server has critical definition quality gaps. All 8 tools have descriptions in Chinese, which violates LLM-optimization principles (descriptions should be in English for broad agent compatibility). Tool descriptions are present but lack actionable context, they state WHAT but not WHEN or WHY to use each tool. Parameter descriptions exist but are minimal (avg ~40 chars vs baseline 72 chars). Most critically, no output schemas are documented anywhere, LLMs cannot infer what fields to expect from responses. Error handling is absent; no recovery guidance or categorization. The server appears designed for red-team/security testing but lacks safeguards, validation, and clear composition patterns.

• Translate all tool and parameter descriptions to English. Use clear, actionable language: 'Lists all prompt injection attack categories with severity levels and payload counts. Call this first to discover available attack types before fetching payloads.'
• Document output schemas for every tool. E.g., list_attack_categories should return: {categories: [{id: string, name: string, description: string, severity: string, payload_count: number}]}
• Add error handling with recovery guidance. E.g., 'If payload_id not found, call search_payloads() with a keyword to discover valid IDs.'
• Expand parameter descriptions to 50-100 chars with format/constraint details. E.g., 'sequence_name: Name of predefined test sequence (e.g., basic_boundary_test, advanced_jailbreak_test). Call list_test_sequences() to see available options.'
• Add input validation: enforce max string lengths (template ≤ 2000 chars), validate enum values (format in [markdown, json, html]), and return clear validation errors with corrected examples.