list_lead_scoring_models
List a website's lead scoring models (Qualify): the rules that score each lead on company, people and behaviour criteria and mark it warm or hot.
List lead scoring models · Read-only
List a website's lead scoring models (Qualify): the rules that score each lead on company, people and behaviour criteria and mark it warm or hot. Returns results.scores[] with each model's _id (modelId for the other scoring tools), name, active, status (live, draft, archived), bands (warm/hot thresholds, default 40/70) and its rules per criterion, plus pagination fields. 50 models per page. websiteId comes from list_websites. Use get_lead_scoring_model for one model. Read-only.
| Connection | Account URL, team member URL or OAuth |
|---|
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
websiteId | string | Yes | Website id (24 hex characters) from list_websites. |
page | number | No | Page number, 1-based, 50 models per page. Default 1. |
Tool definition
What your assistant receives from tools/list:
{
"name": "list_lead_scoring_models",
"title": "List lead scoring models",
"annotations": {
"title": "List lead scoring models",
"readOnlyHint": true,
"destructiveHint": false,
"idempotentHint": true,
"openWorldHint": false
},
"inputSchema": {
"type": "object",
"properties": {
"websiteId": {
"type": "string",
"description": "Website id (24 hex characters) from list_websites."
},
"page": {
"type": "number",
"description": "Page number, 1-based, 50 models per page. Default 1."
}
},
"required": [
"websiteId"
]
}
}recalculate_lead_scores
Re-run lead scoring for specific leads against the website's current scoring models, and answer any AI qualification questions those leads do not have an answer for yet.
create_lead_scoring_model
Create a lead scoring model on a website, with its rules: criteria (same shape as get_lead_scoring_model / update_lead_scoring_model), active and aiMatching are saved with it.