Get track record
get_track_recordWeigh the user's stated confidence against history: hit rate, Brier score, calibration buckets, and slices by inference level, source tier, and run mode.
When to use it
Weigh the user's stated confidence against history: hit rate, Brier score, calibration buckets, and slices by inference level, source tier, and run mode.
Use company context first, then thesis, claims, reviews, and evidence gaps.
A calibration summary, plain-language hints, and recent resolutions with their probabilities and outcomes.
Avoid using it when
Do not present a small sample as a verdict on the user's judgment; hints only appear when there are enough resolutions.
Advanced input contract
Agent hosts use this JSON Schema to validate the exact input shape.
View full registry notes
Summarize how this user's resolved hypotheses, catalysts, and decisions turned out: hit rate, Brier score, calibration buckets, slices by inference level, source tier, and run mode, plain-language hints, and recent resolutions. Use it to weigh stated confidence against history. Use when: Weigh the user's stated confidence against history: hit rate, Brier score, calibration buckets, and slices by inference level, source tier, and run mode. Avoid when: Do not present a small sample as a verdict on the user's judgment; hints only appear when there are enough resolutions.
View JSON Schema
{
"type": "object",
"properties": {
"folderId": {
"type": "string",
"format": "uuid"
},
"ticker": {
"type": "string",
"minLength": 1,
"maxLength": 12
},
"companyId": {
"type": "string",
"format": "uuid"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 200,
"default": 25
}
},
"additionalProperties": false
}