Reconnect to the calendar.
AI agents use reconnect to create or update resources in CalDAV MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CalDAV MCP Server environment.
A reconnect operation re-establishes a connection to the CalDAV server. It is not a pure read (it changes connection state), not destructive, not financial, and not executing arbitrary code. The closest category is Write since it modifies session/connection state. However, the description is minimal and uninformative, so confidence is moderate.
From the tool's definition Reconnect to the calendar.
Attacks that exploit this kind of access
Reconnect to the calendar. It is categorised as a Write tool in the CalDAV MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CalDAV MCP Server MCP server in PolicyLayer and add a rule for reconnect: 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 CalDAV MCP Server. Nothing to install.
reconnect is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the reconnect 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 reconnect. 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.
reconnect is provided by the CalDAV MCP Server MCP server (thegreatgooo/radicale-mcp). 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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