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get_verification_stats_for_lead_list

Analyze email verification results for a lead list to identify valid, invalid, risky, and unknown email addresses.

Instructions

Get email verification statistics for a lead list.

Returns breakdown of verification results:

  • Valid emails

  • Invalid/bounced emails

  • Risky emails

  • Unknown status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Implementation Reference

  • The handler function that executes the tool: fetches verification stats via API GET /lead-lists/{list_id}/verification-stats using the provided list_id from params, formats as JSON.
    async def get_verification_stats_for_lead_list(params: GetVerificationStatsInput) -> str: """ Get email verification statistics for a lead list. Returns breakdown of verification results: - Valid emails - Invalid/bounced emails - Risky emails - Unknown status """ client = get_client() result = await client.get(f"/lead-lists/{params.list_id}/verification-stats") return json.dumps(result, indent=2)
  • Pydantic input schema/model: requires list_id (str). Used for input validation in the handler.
    class GetVerificationStatsInput(BaseModel): """Input for getting email verification stats for a list.""" model_config = ConfigDict(str_strip_whitespace=True, extra="ignore") list_id: str = Field(..., description="List UUID")
  • Registration: The tool function is included in the LEAD_TOOLS list, which is collected and registered by server.py.
    LEAD_TOOLS = [ list_leads, get_lead, create_lead, update_lead, list_lead_lists, create_lead_list, update_lead_list, get_verification_stats_for_lead_list, add_leads_to_campaign_or_list_bulk, delete_lead, delete_lead_list, move_leads_to_campaign_or_list, ]
  • MCP annotation registration: Marks the tool as read-only in the TOOL_ANNOTATIONS dict used during tool registration.
    "get_verification_stats_for_lead_list": {"readOnlyHint": True},

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