add_comment_reply

THE RISK

Medium Risk

Why add_comment_reply needs a policy

This tool creates new data (a comment reply) in a reversible manner. It modifies conversation state by appending a reply but does not execute arbitrary code, delete data, or move money.

From the tool's definition Tool name 'add_comment_reply' and description 'Add a reply to a comment' indicate creation of new comment data within the Front customer communication platform.

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

POLICY

How to control add_comment_reply

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_comment_reply": {
      "limits": [
        {
          "counter": "add_comment_reply_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

add_comment_reply 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.

Create a free account and register Frontapp MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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All 151 Frontapp MCP Server tools →

Write tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about add_comment_reply

What does the add_comment_reply tool do? +

Add a reply to a comment. It is categorised as a Write tool in the Frontapp 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 add_comment_reply? +

Register the Frontapp MCP Server MCP server in PolicyLayer and add a rule for add_comment_reply: 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 Frontapp MCP Server. Nothing to install.

What risk level is add_comment_reply? +

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

Can I rate-limit add_comment_reply? +

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

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

add_comment_reply is provided by the Frontapp MCP Server MCP server (zqushair/frontapp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Frontapp MCP Server tool call.

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

CHECK YOUR STACK →