Medium Risk

hubspot_create_contact

Create a HubSpot contact. Args: email: Contact email address. firstname: First name. lastname: Last name. company: Company name. phone: Phone number.

How to control hubspot_create_contact ↓

AI agents use hubspot_create_contact to create or update resources in autoMate — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your autoMate environment.

Medium Risk

This tool creates new data in HubSpot (a CRM system), which is a reversible Write operation. While it adds records to an external service, the action is not destructive, does not execute arbitrary code, and does not involve financial transactions.

From the tool's definition Tool name 'hubspot_create_contact' and description 'Create a HubSpot contact' with arguments for email, firstname, lastname, company, and phone indicate the tool creates new records in HubSpot's contact database.

Documented attack patterns abuse exactly the kind of access hubspot_create_contact gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and autoMate, and nothing reaches the server without passing your rules. This is the rule we recommend for hubspot_create_contact:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "hubspot_create_contact": {
      "limits": [
        {
          "counter": "hubspot_create_contact_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

hubspot_create_contact stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register autoMate — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Go deeper

What does the hubspot_create_contact tool do? +

Create a HubSpot contact. Args: email: Contact email address. firstname: First name. lastname: Last name. company: Company name. phone: Phone number. It is categorised as a Write tool in the autoMate MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on hubspot_create_contact? +

Register the autoMate MCP server in PolicyLayer and add a rule for hubspot_create_contact: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches autoMate. Nothing to install.

What risk level is hubspot_create_contact? +

hubspot_create_contact is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit hubspot_create_contact? +

Yes. Add a rate_limit block to the hubspot_create_contact rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block hubspot_create_contact completely? +

Set action: deny in the PolicyLayer policy for hubspot_create_contact. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides hubspot_create_contact? +

hubspot_create_contact is provided by the autoMate MCP server (yuruotong1/automate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every autoMate tool call.

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