Clears all timetable rows for a specific date.
AI agents call timetable.clear_day to permanently remove resources in Tlc Portal — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool irreversibly removes all timetable entries for a given day. 'Clears all' implies bulk deletion with no indication of reversibility, making this Destructive. High severity because misuse could wipe an entire day's schedule data for potentially many users or records.
From the tool's definition Clears all timetable rows for a specific date
Attacks that exploit this kind of access
Clears all timetable rows for a specific date. It is categorised as a Destructive tool in the Tlc Portal MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Tlc Portal MCP server in PolicyLayer and add a rule for timetable.clear_day: 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 Tlc Portal. Nothing to install.
timetable.clear_day 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 timetable.clear_day 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 timetable.clear_day. 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.
timetable.clear_day is provided by the Tlc Portal MCP server (mingovvv/tlc-portal-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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