publish_ai_action · Contentful MCP Remote Server MCP

WHAT IT DOES

What publish_ai_action does on Contentful MCP Remote Server

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

WHY IT NEEDS A POLICY

Why publish_ai_action needs a policy

Publishing an AI action modifies its state to make it accessible but is reversible—the action can be unpublished. This is a Write operation rather than Execute because it changes metadata/state rather than running code. Severity is medium because publishing an AI action could affect application behavior for end-users, but the blast radius is scoped to that specific action and the impact is reversible.

From the tool's definition Tool name is 'publish_ai_action' and description states it will 'Publish an AI action to make it available for use in the Contentful web app'.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

publish_ai_action Rate-limited

publish_ai_action 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": {
    "publish_ai_action": {
      "limits": [
        {
          "counter": "publish_ai_action_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Contentful MCP Remote Server, so you can run agents against it safely.

FAQ

Questions about publish_ai_action

What does the publish_ai_action tool do? +

Publish an AI action to make it available for use in the Contentful web app. It is categorised as a Write tool in the Contentful MCP Remote 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 publish_ai_action? +

Register the Contentful MCP Remote Server MCP server in PolicyLayer and add a rule for publish_ai_action: 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 Contentful MCP Remote Server. Nothing to install.

What risk level is publish_ai_action? +

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

Can I rate-limit publish_ai_action? +

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

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

publish_ai_action is provided by the Contentful MCP Remote Server MCP server (renzoqcad/contentful-express-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.