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A skill server for scaling voice AI conversational agents with concurrent call request management
This server has a single tool with a basic schema but severe quality gaps. The tool name 'scale_voice_agents' is somewhat action-oriented but the description is minimal (73 chars). The input schema is present and typed, but the output schema is completely undocumented, critical for downstream tool chaining. No error handling, no recovery guidance, no validation constraints. The implementation appears to be a stub that returns hardcoded mock data rather than a production integration.
Scales voice AI agents with specified concurrent call requests
Output schema completely undocumented. Tool returns a dict with 'active_voice_channels', 'latency_ms', and 'system_health' fields, but the response structure is invisible to the LLM. No type information, no field descriptions, no constraints on values.
Tool description is too generic (73 chars). 'Scales voice AI agents with specified concurrent call requests' lacks context on when to use this tool, what 'scaling' means operationally, what the user should expect as a result, or what side effects occur. Baseline for A+ tools is 50-200 chars with clear WHAT/WHEN/WHY framing.
No error handling or recovery guidance. The stub implementation cannot fail, it always returns hardcoded success. Production integration will encounter network errors, rate limits, invalid voice IDs, and out-of-range concurrent_call_requests. LLM has no guidance on what to do if scaling fails.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 32 | 2026-07-28+ | v2 |
No input validation or constraints. 'concurrent_call_requests' accepts any integer with no documented bounds. Real systems have min/max concurrent calls (e.g., 1-1000). LLM can pass absurd values (0, -1, 1000000) without feedback.
Parameter 'agent_voice_id' description is minimal ('Voice ID identifier for the agent'). Does not explain the format, how to discover valid voice IDs, what happens if an invalid ID is passed, or whether custom IDs are supported. Default value 'voice_rachel_v2' should not appear in the description, use an enum or discovery tool instead.
Implementation is a stub returning mock data. No actual voice AI system integration, no state management, no real concurrent call management. Tool is not production-ready, it will need complete rewrite before deployment.