AI agents call list_labels to retrieve information from AgentCloak without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation to fetch and display Gmail label information. It retrieves existing data (labels and counts) with no side effects, no data modification, no code execution, and no irreversible actions. This aligns with the 'Read' category definition of retrieving or querying data without side effects.
From the tool's definition Tool name 'list_labels' and description 'List all Gmail labels with unread message counts' indicate a query operation that retrieves metadata about labels and their unread counts without modifying any data.
Documented attack patterns abuse exactly the kind of access list_labels gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AgentCloak, and nothing reaches the server without passing your rules. This is the rule we recommend for list_labels:
{
"version": "1",
"default": "deny",
"tools": {
"list_labels": {}
}
}list_labels 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 Gmail labels with unread message counts. It is categorised as a Read tool in the AgentCloak MCP Server, which means it retrieves data without modifying state.
Register the AgentCloak MCP server in PolicyLayer and add a rule for list_labels: 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 AgentCloak. Nothing to install.
list_labels 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_labels 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_labels. 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_labels is provided by the AgentCloak MCP server (ryanfren/agentcloak). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AgentCloak, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 AgentCloak tools catalogued and risk-classified — across an index of 43,000+ MCP servers.