thinkneo_sla_define
ActiveTool of ThinkNEO MCP Server
declared in 1.28.0
Define or update an SLA (Service Level Agreement) for an AI agent. Set accuracy, quality, cost, safety, or latency thresholds with automatic breach detection and configurable actions (alert, escalate, disable, switch_model). Like SRE SLOs but for AI agent outcomes. Requires authentication.
Parameters schema
{
"type": "object",
"title": "thinkneo_sla_defineArguments",
"required": [
"agent_name",
"metric",
"threshold"
],
"properties": {
"metric": {
"type": "string",
"title": "Metric",
"description": "Metric to monitor: 'accuracy' (outcome verification rate %), 'response_quality' (avg quality score), 'cost_efficiency' (cost per verified outcome), 'safety' (guardrail pass rate %), 'latency' (avg response ms)"
},
"window": {
"type": "string",
"title": "Window",
"default": "7d",
"description": "Rolling window: '1h', '24h', '7d', or '30d'"
},
"threshold": {
"type": "number",
"title": "Threshold",
"description": "Target threshold value (e.g., 95.0 for 95% accuracy)"
},
"agent_name": {
"type": "string",
"title": "Agent Name",
"description": "Agent name to set SLA for (e.g., 'support-bot', 'finance-agent')"
},
"breach_action": {
"type": "string",
"title": "Breach Action",
"default": "alert",
"description": "Action on breach: 'alert' (notify), 'escalate' (notify + flag), 'disable' (stop agent), 'switch_model' (fallback model)"
},
"threshold_direction": {
"type": "string",
"title": "Threshold Direction",
"default": "min",
"description": "'min' = actual must be >= threshold (for accuracy, quality). 'max' = actual must be <= threshold (for cost, latency)."
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
ThinkNEO MCP Server
https://github.com/thinkneo-ai/mcp-server
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