Remove an article from the reading queue by its URL.
AI agents call remove_reading to permanently remove resources in Gcal — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool removes an item from the reading queue, which is a deletion operation. Removing by URL suggests a targeted deletion that may be irreversible without a documented undo mechanism. While the blast radius is moderate (limited to reading queue entries), the operation is destructive in nature.
From the tool's definition Remove an article from the reading queue by its URL
Attacks that exploit this kind of access
Remove an article from the reading queue by its URL. It is categorised as a Destructive tool in the Gcal MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Gcal MCP server in PolicyLayer and add a rule for remove_reading: 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.
remove_reading is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the remove_reading 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 remove_reading. 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.
remove_reading 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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