AI agents call calendarAll to retrieve information from Routine without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves calendar information. It does not create, modify, delete, execute code, or involve financial transactions. It is a straightforward data retrieval operation, making it a Read category tool with low severity since calendar metadata exposure has limited blast radius.
From the tool's definition Tool name 'calendarAll' and description 'All calendars' indicate retrieval of calendar data without modification. The action is to fetch or list all calendars, which is a read-only operation with no side effects.
Attacks that exploit this kind of access
All calendars. It is categorised as a Read tool in the Routine MCP Server, which means it retrieves data without modifying state.
Register the Routine MCP server in PolicyLayer and add a rule for calendarAll: 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 Routine. Nothing to install.
calendarAll 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 calendarAll 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 calendarAll. 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.
calendarAll is provided by the Routine MCP server (routineco/mcp-server). 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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