Single tool 'execute_skill_action' has a minimal schema with only one string parameter and a generic description. The tool name does not follow verb_noun convention (should be 'execute_skill' or similar). Description (104 chars) lacks specificity about what 'deterministic, zero-dependency AI Synthetic Data & Evaluation Benchmark operations' actually means, no guidance on when to use it, what it returns, or prerequisites. Parameter 'query_payload' has a description but is vague ('Input execution payload'). No output schema documented. The tool appears to be a pass-through echo service rather than a functional capability. No error handling, no recovery guidance, no structured output specification.

• Rename tool to 'execute_skill' or 'run_fuzzing_suite' to follow verb_noun convention and clarify intent.
• Rewrite description to be concrete: 'Executes adversarial red-team fuzzing operations. Accepts a JSON payload specifying attack archetype and target intent. Returns test cases with synthesized prompts and evaluation results.' (under 200 chars).
• Add enum constraint to 'query_payload' or split into structured parameters: 'attack_type' (enum: roleplay_hypothetical, system_prompt_leakage, indirect_comment_injection), 'target_intent' (string, max 500 chars).
• Document output schema in tool definition: 'Returns object with fields: status (string), test_cases (array of {attack_category, attack_name, synthesized_prompt}), evaluation_results (object with defense_status, safety_score).'
• Integrate client.py fuzzing logic into the MCP tool handler so the tool actually performs red-teaming instead of echoing input. Currently the fuzzer classes are unused by the MCP server.