AI agents call list_conversation_drafts 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 draft messages associated with a conversation. It performs a simple data query operation with no capability to modify, delete, or execute any actions. The severity is low because accessing draft data poses minimal risk—it only exposes information already associated with the conversation, similar to viewing existing drafts in the UI.
From the tool's definition Tool name 'list_conversation_drafts' and description 'List all drafts for a conversation' indicate a retrieval operation with no side effects. The verb 'list' is explicitly a read operation that queries existing data without modification.
Documented attack patterns abuse exactly the kind of access list_conversation_drafts 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_conversation_drafts:
{
"version": "1",
"default": "deny",
"tools": {
"list_conversation_drafts": {}
}
}list_conversation_drafts 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 drafts for a conversation. 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_conversation_drafts: 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_conversation_drafts 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_conversation_drafts 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_conversation_drafts. 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_conversation_drafts 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.