Medium Risk

create_draft

Create a content draft for later publishing.

How to control create_draft ↓

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

Medium Risk

This tool creates new content artifacts (drafts) that are stored in the system. It is reversible (drafts can be edited or deleted before publishing) and has no immediate external effects, placing it in the Write category. Severity is medium because drafts at scale could be used for spam, misinformation, or coordinated inauthentic behavior campaigns, though the impact is limited until publishing.

From the tool's definition Tool name 'create_draft' and description 'Create a content draft for later publishing' indicate creation of new content that can be stored and modified before publication.

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

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

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

create_draft 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 LinkedIn Intelligence MCP Server — 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 →

Free to start. No card required.

Go deeper

What does the create_draft tool do? +

Create a content draft for later publishing. It is categorised as a Write tool in the LinkedIn Intelligence 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 create_draft? +

Register the LinkedIn Intelligence MCP Server MCP server in PolicyLayer and add a rule for create_draft: 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 LinkedIn Intelligence MCP Server. Nothing to install.

What risk level is create_draft? +

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

Can I rate-limit create_draft? +

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

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

create_draft is provided by the LinkedIn Intelligence MCP Server MCP server (southleft/linkedin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every LinkedIn Intelligence MCP Server tool call.

Deterministic rules across all 87 LinkedIn Intelligence MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

87 LinkedIn Intelligence MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.