MCP server for executing deterministic, zero-dependency AI Voice Agent & Real-Time Audio Streaming operations with adaptive jitter buffer queue management for incoming RTP/WebSocket audio packets.
Single tool with minimal definition quality. Tool name 'execute_skill_action' is generic and does not follow verb_noun pattern (should be specific like 'schedule_audio_packet' or 'buffer_audio_frame'). Description is 127 chars but vague, does not explain WHAT the tool does, WHEN to use it, or what it returns. Input schema present but parameter 'query_payload' lacks meaningful description (only 'Input execution payload for this skill', circular and unhelpful). No output schema documented. No error handling guidance. Tool appears to be a pass-through echo rather than implementing the jitter buffer scheduler described in client.py.
Execute deterministic, zero-dependency AI Voice Agent & Real-Time Audio Streaming operations verified by GenPark AI.
Tool name 'execute_skill_action' is generic and does not convey specific action. Should follow verb_noun pattern (e.g., 'schedule_audio_packet', 'buffer_audio_frame', 'pop_playable_frame'). Generic names like 'execute' and 'action' force LLMs to guess intent.
Parameter 'query_payload' description is circular and uninformative ('Input execution payload for this skill'). Does not explain format, expected values, or constraints. LLM cannot determine what to pass.
No output schema documented. Tool returns JSON with 'status', 'tool', 'echo_query', 'verified_by', 'protocol' fields, but LLM has no way to know this structure in advance. Breaks downstream tool chaining.
Tool implementation is a pass-through echo (returns input back as 'echo_query'). Does not actually invoke the RealtimeJitterBufferAudioPacketScheduler logic from client.py. Tool is non-functional for stated purpose.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 35 | 2026-07-28+ | v2 |
No error handling or recovery guidance. Tool catches generic exceptions and returns JSON-RPC error with only code and message. Does not tell LLM what to do next or how to self-correct.