Single tool with minimal definition quality. Tool name 'execute_skill_action' is generic and violates verb_noun clarity (pattern:tool). Description is present but vague (67 chars, below 100-char minimum for clarity). Input schema exists but parameter 'query_payload' is a free-form string with no constraints, enums, or format guidance, forces LLM to guess payload structure. No output schema documented. No error handling guidance. Tool appears to be a catch-all wrapper rather than a focused, composable operation. STDIO transport caps protocol readiness at 50 regardless of definition quality.

• Rename tool to a specific action: 'negotiate_procurement_price', 'calculate_contract_terms', or 'execute_b2b_negotiation'. This makes the tool's purpose immediately clear to the LLM.
• Replace 'query_payload' string parameter with structured fields: 'initial_quote_usd' (number, min 0), 'volume_units' (integer, min 1), 'target_unit_price_usd' (number, min 0), 'payment_terms' (enum: NET_30, NET_60, NET_90). This matches the client.py method signature and prevents malformed input.
• Document the output schema explicitly: {negotiation_session_id: string, initial_quote_usd: number, agreed_contract_usd: number, unit_price_usd: number, negotiated_savings_usd: number, payment_terms_agreed: string, pareto_optimal_concession: string, contract_dossier_url: string}.
• Expand tool description to 120-180 chars: 'Negotiate B2B procurement terms given an initial quote, volume, and target unit price. Returns agreed contract value, per-unit price, savings, and a contract dossier URL. Use this to optimize bulk purchase agreements.'
• Add error handling: validate numeric inputs (reject negative values), validate payment_terms enum, return actionable errors like 'Invalid volume_units: must be >= 1' or 'Unknown payment_terms: must be one of NET_30, NET_60, NET_90'.