Single tool 'execute_skill_action' has a minimal description (97 chars) that lacks actionable context for LLM selection. Input schema is present but parameter 'query_payload' has only a generic description ('Input execution payload for this skill') with no format, constraints, or examples of valid payloads. No output schema is documented, the tool returns a hardcoded JSON string with no structure definition. No error handling guidance, no idempotency markers, and no indication of what side effects occur. The tool name uses a generic verb pattern ('execute') rather than domain-specific action verbs. Overall, this reads as a stub implementation rather than a production-ready tool.

• Add a detailed output schema documenting all fields returned (status, message, result, etc.) with types and descriptions so LLMs can extract and chain data.
• Expand parameter 'query_payload' description to specify format (JSON object? string? base64?), required fields, and 1 - 2 concrete examples of valid payloads.
• Rewrite tool description to answer: What does this tool do? When should the LLM call it? What are the prerequisites? What side effects occur? Target 100 - 200 characters.
• Add error handling: document failure modes (invalid payload, timeout, permission denied) and provide recovery guidance for each (e.g., 'If payload is invalid, check format against schema and retry').
• Consider renaming to a more specific verb (e.g., 'invoke_swarm_skill', 'delegate_swarm_task') and add tool annotations (destructiveHint if it modifies state, idempotentHint if safe to retry).