Duplicate one of a user's time entries, creating a copy.
AI agents use duplicate_time_entry to create or update resources in Clockify Time Tracking — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Clockify Time Tracking environment.
Duplicating a time entry creates a new, reversible data record. While it modifies the system state by adding data, it is not destructive (no deletion/overwriting), not financial (no money movement), and not execute (no arbitrary code/command execution). This is a write operation that can be undone by deleting the duplicated entry.
From the tool's definition Tool description states 'Duplicate one of a user's time entries, creating a copy' - this creates new data (a duplicate time entry) in the system.
Attacks that exploit this kind of access
Duplicate one of a user's time entries, creating a copy. It is categorised as a Write tool in the Clockify Time Tracking MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Clockify Time Tracking MCP server in PolicyLayer and add a rule for duplicate_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 Clockify Time Tracking. Nothing to install.
duplicate_time_entry 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 duplicate_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 duplicate_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.
duplicate_time_entry is provided by the Clockify Time Tracking MCP server (pypi:clockify-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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