Medium Risk

generate_batch

Submit multiple leads for batch email sequence generation (ASYNC). Returns IMMEDIATELY with a list_id. Processing runs in the background. After calling this, poll get_list_status every 15-30 seconds until processing_status is 'completed' or 'failed', then call export_list. You must have a campaig...

Risk signalsBulk/mass operation — affects multiple targets

Part of the Cold Email server.

generate_batch can modify Cold Email data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use generate_batch to create or modify resources in Cold Email. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call generate_batch repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Cold Email.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

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

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These attack patterns abuse exactly the kind of access generate_batch gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so generate_batch only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the generate_batch tool do? +

Submit multiple leads for batch email sequence generation (ASYNC). Returns IMMEDIATELY with a list_id. Processing runs in the background. After calling this, poll get_list_status every 15-30 seconds until processing_status is 'completed' or 'failed', then call export_list. You must have a campaign_id first. Call list_campaigns if you don't have one.. It is categorised as a Write tool in the Cold Email MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_batch? +

Register the Cold Email MCP server in PolicyLayer and add a rule for generate_batch: 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 Cold Email. Nothing to install.

What risk level is generate_batch? +

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

Can I rate-limit generate_batch? +

Yes. Add a rate_limit block to the generate_batch 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 generate_batch completely? +

Set action: deny in the PolicyLayer policy for generate_batch. 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 generate_batch? +

generate_batch is provided by the Cold Email MCP server (https://mcp.machfive.io/mcp/{api_key}). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Cold Email tool call.

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