AI agents call list_comment_mentions to retrieve information from Frontapp MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries mention data from an existing comment. It has no side effects, does not create, modify, or delete data, and does not execute external operations. It falls squarely into the Read category. The severity is low because listing mentions is a non-sensitive metadata retrieval with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name is 'list_comment_mentions' and description states 'List all mentions in a comment' — purely a retrieval operation with no modification, deletion, or execution of code.
Documented attack patterns abuse exactly the kind of access list_comment_mentions gives an agent:
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_comment_mentions:
{
"version": "1",
"default": "deny",
"tools": {
"list_comment_mentions": {}
}
}list_comment_mentions is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all mentions in a comment. It is categorised as a Read tool in the Frontapp MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Frontapp MCP Server MCP server in PolicyLayer and add a rule for list_comment_mentions: 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.
list_comment_mentions is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_comment_mentions 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.
Set action: deny in the PolicyLayer policy for list_comment_mentions. 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.
list_comment_mentions 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.
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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151 Frontapp MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.