custom_unapprove_email

[CUSTOM] Calls the Marketo REST API directly (not Adobe's native MCP).

SERVERMarketo MCP Server SOURCEtyron-pretorius/marketo-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/tyron-pretorius-marketo-mcp/custom-unapprove-email.md

WHAT IT DOES

What custom_unapprove_email does on Marketo MCP Server

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

RISK

Why custom_unapprove_email is rated Medium

Unapproving an email in Marketo changes its status from approved to draft/unapproved, which is a reversible state change (it can be re-approved). This is a Write operation. The severity is medium because unapproving a live email could disrupt active campaigns or programs, but the action is reversible. Confidence is reduced because the description is uninformative beyond stating it calls the REST API directly.

From the tool's definition Tool name 'custom_unapprove_email' suggests reverting an email from approved to unapproved state; description only states it calls Marketo REST API directly without further detail

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs custom_unapprove_email safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Marketo MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For custom_unapprove_email, this is the rule to start with:

custom_unapprove_email Rate-limited

custom_unapprove_email 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "custom_unapprove_email": {
      "limits": [
        {
          "counter": "custom_unapprove_email_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Marketo MCP Server, apply this rule, and every custom_unapprove_email call is checked against it from then on.

FAQ

Questions about custom_unapprove_email

What does the custom_unapprove_email tool do? +

[CUSTOM] Calls the Marketo REST API directly (not Adobe's native MCP). It is categorised as a Write tool in the Marketo MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on custom_unapprove_email? +

Register the Marketo MCP Server MCP server in PolicyLayer and add a rule for custom_unapprove_email: 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 Marketo MCP Server. Nothing to install.

What risk level is custom_unapprove_email? +

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

Can I rate-limit custom_unapprove_email? +

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

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

custom_unapprove_email is provided by the Marketo MCP Server MCP server (tyron-pretorius/marketo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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