Lists events from a Google Calendar within an optional time range.
AI agents call list_calendar_events to retrieve information from Langfuse Observability without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves calendar event data without modifying, deleting, or executing any actions. It is a simple query operation that only reads information from Google Calendar. The low severity reflects that exposure of calendar event listings poses minimal risk—calendar events are typically non-sensitive metadata, and read-only access cannot cause operational harm or data loss.
From the tool's definition Tool name 'list_calendar_events' and description 'Lists events from a Google Calendar within an optional time range' indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Lists events from a Google Calendar within an optional time range. It is categorised as a Read tool in the Langfuse Observability MCP Server, which means it retrieves data without modifying state.
Register the Langfuse Observability MCP server in PolicyLayer and add a rule for list_calendar_events: 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 Langfuse Observability. Nothing to install.
list_calendar_events 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_calendar_events 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_calendar_events. 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_calendar_events is provided by the Langfuse Observability MCP server (langfuse-observability-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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