AI agents call list_teammate_contacts 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 performs a query to retrieve contacts associated with a teammate. It does not create, modify, delete, or execute any operations—it simply lists existing data. The blast radius is minimal as misuse would only expose contact information visibility within the organization, not cause irreversible changes or financial impact.
From the tool's definition Tool name 'list_teammate_contacts' and description 'List contacts for a specific teammate' indicate a retrieval operation with the verb 'list', which is explicitly categorized as a read operation that retrieves data without side effects.
Documented attack patterns abuse exactly the kind of access list_teammate_contacts 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_teammate_contacts:
{
"version": "1",
"default": "deny",
"tools": {
"list_teammate_contacts": {}
}
}list_teammate_contacts is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List contacts for a specific teammate. 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_teammate_contacts: 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_teammate_contacts 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_teammate_contacts 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_teammate_contacts. 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_teammate_contacts 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.