AI agents call list_reading_queue to retrieve information from Gcal without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays data (articles in a reading queue) without creating, modifying, deleting, or executing any operations. It is a straightforward data query operation, which is the defining characteristic of the Read category.
From the tool's definition Tool name 'list_reading_queue' and description 'List all articles currently in the reading queue' explicitly indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List all articles currently in the reading queue. Useful to see what. It is categorised as a Read tool in the Gcal MCP Server, which means it retrieves data without modifying state.
Register the Gcal MCP server in PolicyLayer and add a rule for list_reading_queue: 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 Gcal. Nothing to install.
list_reading_queue 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_reading_queue 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_reading_queue. 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_reading_queue is provided by the Gcal MCP server (kwikkid/gcalcli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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