Single tool with minimal definition quality. Tool name 'execute_skill_action' is generic and does not follow verb_noun pattern clearly (execute_skill_action is vague about what action). Description is 127 chars but lacks WHEN to use it, prerequisites, or what it returns. Input schema present but parameter 'query_payload' is a bare string with no format constraints, validation rules, or examples of valid payloads. No output schema documented, response structure is inferred from code (echoes query, returns status). No error handling guidance. Tool appears to be a pass-through echo rather than a functional skill executor.

• Rename tool to a specific action verb: e.g., 'schedule_audio_packet', 'process_jitter_buffer', or 'execute_audio_skill', something that tells the LLM what domain and operation it performs.
• Add a detailed description (150-250 chars) explaining: What audio/voice operation does this perform? When should the LLM call it instead of other tools? What does it return? Example: 'Schedule and reorder RTP audio packets in a jitter buffer to minimize latency and handle packet loss. Returns reordered frames ready for playback.'
• Define the query_payload parameter with explicit format: 'JSON object with keys: operation (string, one of: schedule_packet, pop_frame, get_stats), packet (object with seq, timestamp, payload_bytes for schedule_packet), or empty for pop_frame. Example: {"operation": "schedule_packet", "packet": {"seq": 100, "timestamp": 1000, "payload_bytes": "..."}}'
• Document the output schema in the tool definition. Specify: status (enum: success, error, buffer_underrun), result (object with seq, is_concealed, packet fields), error_message (string if status=error). Include example response.
• Add error handling: return distinct error responses for invalid operation, malformed packet, buffer overflow, and underrun conditions. Each error should include the invalid value and the constraint violated, plus a recovery suggestion.