AI agents call tasks_listTasks to retrieve information from Google MCP Remote 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 task data from Google Tasks without modifying, creating, deleting, or executing any operations. The 'list' operation is a standard read-only data retrieval pattern. Severity is low because the blast radius of an AI misusing a read-only retrieval tool is minimal — it exposes only data the authenticated user already has access to.
From the tool's definition Tool name contains 'list' and description states 'List tasks within a specific task list' — a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access tasks_listTasks gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Google MCP Remote, and nothing reaches the server without passing your rules. This is the rule we recommend for tasks_listTasks:
{
"version": "1",
"default": "deny",
"tools": {
"tasks_listTasks": {}
}
}tasks_listTasks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List tasks within a specific task list. It is categorised as a Read tool in the Google MCP Remote MCP Server, which means it retrieves data without modifying state.
Register the Google MCP Remote MCP server in PolicyLayer and add a rule for tasks_listTasks: 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 Google MCP Remote. Nothing to install.
tasks_listTasks 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 tasks_listTasks 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 tasks_listTasks. 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.
tasks_listTasks is provided by the Google MCP Remote MCP server (vakharwalad23/google-mcp-remote). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Google MCP Remote, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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35 Google MCP Remote tools catalogued and risk-classified — across an index of 43,000+ MCP servers.