Medium Risk

linkedin_create_comment

Create a comment on a LinkedIn share, article, or video.

How to control linkedin_create_comment ↓

What linkedin_create_comment does on LinkedIn Custom MCP Server

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

Medium Risk

Why linkedin_create_comment needs a policy

Creating a comment is a reversible modification operation—it adds new content to the LinkedIn platform without permanently destroying data or executing arbitrary code. The severity is medium because misuse could result in spam, harassment, or reputational damage through automated comment posting, but the damage is limited in scope and can be mitigated by deletion.

From the tool's definition Tool description states 'Create a comment' which is a write operation that creates new data on the LinkedIn platform.

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

How to control linkedin_create_comment

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

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

linkedin_create_comment 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 Custom 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 →

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Related tools and policies

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Questions about linkedin_create_comment

What does the linkedin_create_comment tool do? +

Create a comment on a LinkedIn share, article, or video. It is categorised as a Write tool in the LinkedIn Custom 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 linkedin_create_comment? +

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

What risk level is linkedin_create_comment? +

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

Can I rate-limit linkedin_create_comment? +

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

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

linkedin_create_comment is provided by the LinkedIn Custom MCP Server MCP server (saramali15792/linkedin_mcp_custom_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every LinkedIn Custom MCP Server tool call.

Start from LinkedIn Custom MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

17 LinkedIn Custom MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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