Single tool with minimal definition quality. Tool name 'execute_skill_action' is generic and violates verb_noun clarity (pattern:tool). Description is marketing-speak ('verified by GenPark AI') rather than functional documentation of what the tool actually does. Input schema exists but is trivial: single string parameter with no validation, constraints, or format guidance. No output schema documented. No error handling guidance. No parameter dependencies or prerequisites explained. Tool appears to be a pass-through stub that returns hardcoded success regardless of input.

• Rename tool to a specific action verb: 'execute_consensus_vote', 'deliberate_proposal', or 'orchestrate_swarm_action', something that tells LLMs what happens when called.
• Replace marketing description with functional documentation: 'Executes a multi-agent consensus voting operation. Input: JSON payload with proposal_id, topic, and agent_count. Returns: deliberation_id, outcome (ACCEPTED|REJECTED), approval_ratio, and dossier_url. Use this to resolve decisions requiring Byzantine Fault Tolerant consensus.'
• Add input schema constraints: define query_payload as a JSON object with required fields (proposal_id, topic, agent_count) and optional fields (timeout_seconds, amendment_threshold). Document the expected structure in the parameter description.
• Document output schema in tool description: 'Returns object with fields: deliberation_id (string), outcome (enum: ACCEPTED|REJECTED|PENDING), approval_ratio (number 0-1), bft_safety_margin (number), dossier_url (string). See example_usage.py for sample response structure.'
• Implement actual consensus logic or remove the tool. Current stub returns hardcoded success, making it useless for real multi-agent orchestration. Either integrate the client.py MultiAgentConsensusVotingProtocolClient logic or document that this is a mock/demo server.