Critical gaps across all dimensions. Tool definitions lack input schemas (health, stats, tools have no visible schemas), descriptions are minimal (health: 56 chars, stats: 89 chars, tools: 62 chars, all below the 194-char baseline), and parameter documentation is absent. The 'call' tool has a partial schema but lacks output schema documentation. No error handling guidance, no parameter constraints, no idempotent/destructive hints. Tool naming is generic (health, stats, tools, call), 'call' violates single-responsibility principle by routing to arbitrary upstream tools. No evidence of permission gates, audit trails, or secret injection patterns.

• Add explicit JSON Schema input definitions for health, stats, tools with type: 'object', properties: {}, required: [].
• Expand tool descriptions to 100 - 250 chars. Example: 'health' → 'Check gateway health status, uptime, and connected upstream server availability. Returns status (healthy|degraded|offline), uptime_seconds, and server_status map. Call before routing critical requests.'
• Document output schemas for all tools. E.g., health returns {status: string, uptime_seconds: number, servers: {[name]: {status: string, latency_ms: number}}}.
• Split 'call' into explicit per-upstream-server tool wrappers (e.g., call_anthropic_tools, call_openai_tools) or add tool_name enum constraint with description of each option.
• Add error handling guidance: 'If upstream server returns 5xx, retry with exponential backoff. If 4xx, check tool_name and params against tools list. If auth fails, verify API key in config.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry