Get time entry history
AI agents call get-time-entry-history to retrieve information from ClickUp Operator without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical time entry data without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal security risk, suitable for read-only access to time tracking records.
From the tool's definition Tool name is 'get-time-entry-history' and description states 'Get time entry history' — both indicate a retrieval/query operation with no modification of data.
Attacks that exploit this kind of access
Get time entry history. It is categorised as a Read tool in the ClickUp Operator MCP Server, which means it retrieves data without modifying state.
Register the ClickUp Operator MCP server in PolicyLayer and add a rule for get-time-entry-history: 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 ClickUp Operator. Nothing to install.
get-time-entry-history 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 get-time-entry-history 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 get-time-entry-history. 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.
get-time-entry-history is provided by the ClickUp Operator MCP server (noah-vh/mcp-server-clickup). 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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