List all conversations for a contact
AI agents call list_contact_conversations 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 queries and retrieves conversation data associated with a contact without creating, modifying, deleting, or executing operations. The 'list' verb and retrieval-only semantics place it squarely in the Read category with low severity, as the blast radius is limited to information disclosure.
From the tool's definition Tool name 'list_contact_conversations' and description 'List all conversations for a contact' indicate a retrieval operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access list_contact_conversations 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_contact_conversations:
{
"version": "1",
"default": "deny",
"tools": {
"list_contact_conversations": {}
}
}list_contact_conversations 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 conversations for a contact. 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_contact_conversations: 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_contact_conversations 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_contact_conversations 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_contact_conversations. 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_contact_conversations 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.