list_conversation_comments

THE RISK

Low Risk

Why list_conversation_comments needs a policy

This tool performs a read-only operation that retrieves and queries existing comment data from a conversation. It has no side effects, does not create, modify, delete, or execute operations. The low severity reflects minimal blast radius — an agent misusing this tool would only gain visibility into internal comments, not alter customer communications or trigger external actions.

From the tool's definition The tool name includes 'list' and the description states it 'List all comments', which explicitly retrieves data without modification. Comments are internal discussion elements being queried from an existing conversation.

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

POLICY

How to control list_conversation_comments

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 list_conversation_comments:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_conversation_comments": {}
  }
}

list_conversation_comments is read-only, so it stays allowed — but 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.

CAP THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about list_conversation_comments

What does the list_conversation_comments tool do? +

List all comments (internal discussions) in a conversation. It is categorised as a Read tool in the Frontapp MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_conversation_comments? +

Register the Frontapp MCP Server MCP server in PolicyLayer and add a rule for list_conversation_comments: 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 list_conversation_comments? +

list_conversation_comments is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_conversation_comments? +

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

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

list_conversation_comments 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.

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