custom_update_landing_page

[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-update-landing-page.md

WHAT IT DOES

What custom_update_landing_page does on Marketo MCP Server

AI agents use custom_update_landing_page 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_update_landing_page is rated Medium

The tool updates (modifies) landing pages, which is a Write operation—data is created or changed reversibly. Severity is high because landing pages are core marketing assets; misconfiguration could break campaigns or expose unintended content to leads.

From the tool's definition Tool name 'custom_update_landing_page' indicates modification of landing page assets. Description states it 'Calls the Marketo REST API directly', and context shows this server manages 'Marketo assets including...programs'.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs custom_update_landing_page 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_update_landing_page, this is the rule to start with:

custom_update_landing_page Rate-limited

custom_update_landing_page 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_update_landing_page": {
      "limits": [
        {
          "counter": "custom_update_landing_page_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_update_landing_page call is checked against it from then on.

FAQ

Questions about custom_update_landing_page

What does the custom_update_landing_page 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_update_landing_page? +

Register the Marketo MCP Server MCP server in PolicyLayer and add a rule for custom_update_landing_page: 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_update_landing_page? +

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

Can I rate-limit custom_update_landing_page? +

Yes. Add a rate_limit block to the custom_update_landing_page 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_update_landing_page completely? +

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

custom_update_landing_page 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.

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