hebbrix_learning_insights
Show what a policy learned with uncertainty. Returns each action's success probability, credible interval, evidence, observation count; enable readiness checks to block promotion on insufficient data.
Instructions
Explain what one customer policy has learned, with uncertainty.
Returns each action's posterior success probability, 90% credible interval,
effective evidence, and observation count for this exact tenant/user/context.
evaluate_readiness=true additionally runs chronological-holdout doubly
robust checks and refuses promotion when samples, randomized overlap, or
effective sample size are inadequate.
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"policy_key": "<policy_key>"
},
"name": "hebbrix_learning_insights"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| actions | No | ||
| context | No | ||
| user_id | No | ||
| policy_key | Yes | ||
| collection_id | No | ||
| evaluate_readiness | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||