AI agents call delete_time_entry to permanently remove resources in Toggl MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Deletion of time entries is an irreversible action that cannot be undone. This fits the Destructive category. Severity is medium rather than high/critical because while time entry deletion is permanent, the blast radius is limited to a single user's time records (not financial transactions, system-wide data, or infrastructure).
From the tool's definition Tool name 'delete_time_entry' indicates irreversible deletion of time entry data. No description provided, but the naming convention combined with sibling tools (create, update, get, stop) on a time tracking system clearly indicates this performs deletion.
Documented attack patterns abuse exactly the kind of access delete_time_entry gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Toggl MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_time_entry:
{
"version": "1",
"default": "deny",
"hide": [
"delete_time_entry"
]
}delete_time_entry disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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delete_time_entry. It is categorised as a Destructive tool in the Toggl MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Toggl MCP Server MCP server in PolicyLayer and add a rule for delete_time_entry: 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 Toggl MCP Server. Nothing to install.
delete_time_entry 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 delete_time_entry 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 delete_time_entry. 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.
delete_time_entry is provided by the Toggl MCP Server MCP server (taiseimiyaji/toggl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Toggl MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
9 Toggl MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.