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MCP server

update_lead_scoring_model

Change a lead scoring model's name, on/off state and/or rules.

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Update a lead scoring model · Deletes or overwrites data

Change a lead scoring model's name, on/off state and/or rules. Every criterion key you pass in criteria replaces that criterion's whole rule list; criteria you leave out are unchanged, so read the model first with get_lead_scoring_model and send the full list for each criterion you change. Rule changes on a live model queue a re-score of recent leads in the background (rescoring.status 'queued'); removing a domain from companyDomain exclusions also unblocks it. Changes are recorded in the model's history. modelId from list_lead_scoring_models. Returns status 'success', the new revision and a summary of changes.

ConnectionAccount URL, team member URL or OAuth

Parameters

ParameterTypeRequiredAcceptsDescription
modelIdstringYesanyScoring model id from list_lead_scoring_models.
namestringNoanyNew model name.
activebooleanNoanytrue turns the model on (it scores leads), false turns it off.
criteriaobjectNoanyObject keyed by criterion name, each value a full list of rules in the shape get_lead_scoring_model returns, e.g. {"industry":[{"values":["Software"],"score":8,"filter":"any"}],"revenue":[{"values":{"min":1000000,"max":null},"score":5}]}. score is -10..10; filter is 'any', 'only' or 'excl'. Numeric criteria (revenue, numberVisits, duration, alexaRank) take {min,max}; recency takes {days}; others take a list of strings. Empty or duplicate rules are dropped.

Tool definition

What your assistant receives from tools/list:

{
  "name": "update_lead_scoring_model",
  "title": "Update a lead scoring model",
  "annotations": {
    "title": "Update a lead scoring model",
    "readOnlyHint": false,
    "destructiveHint": true,
    "idempotentHint": true,
    "openWorldHint": false
  },
  "inputSchema": {
    "type": "object",
    "properties": {
      "modelId": {
        "type": "string",
        "description": "Scoring model id from list_lead_scoring_models."
      },
      "name": {
        "type": "string",
        "description": "New model name."
      },
      "active": {
        "type": "boolean",
        "description": "true turns the model on (it scores leads), false turns it off."
      },
      "criteria": {
        "type": "object",
        "description": "Object keyed by criterion name, each value a full list of rules in the shape get_lead_scoring_model returns, e.g. {\"industry\":[{\"values\":[\"Software\"],\"score\":8,\"filter\":\"any\"}],\"revenue\":[{\"values\":{\"min\":1000000,\"max\":null},\"score\":5}]}. score is -10..10; filter is 'any', 'only' or 'excl'. Numeric criteria (revenue, numberVisits, duration, alexaRank) take {min,max}; recency takes {days}; others take a list of strings. Empty or duplicate rules are dropped."
      }
    },
    "required": [
      "modelId"
    ]
  }
}

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