Medium Risk

update_comment

update_comment

How to control update_comment ↓

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

Medium Risk

An AI agent can call update_comment faster than any human can review — one bad instruction and it creates or modifies resources in Preloop by the hundred, each call as confident as the last.

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

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

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

update_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 Preloop — 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 update_comment tool do? +

update_comment. It is categorised as a Write tool in the Preloop MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_comment? +

Register the Preloop MCP server in PolicyLayer and add a rule for update_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 Preloop. Nothing to install.

What risk level is update_comment? +

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

Can I rate-limit update_comment? +

Yes. Add a rate_limit block to the update_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 update_comment completely? +

Set action: deny in the PolicyLayer policy for update_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 update_comment? +

update_comment is provided by the Preloop MCP server (preloop/preloop). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Preloop tool call.

Deterministic rules across all 15 Preloop tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

15 Preloop tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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