list_workspace_custom_fields
AI agents call list_workspace_custom_fields to retrieve information from Clockify Time Tracking without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries custom field metadata from a workspace—a non-destructive, read-only operation with no side effects. Even if misused by an agent, it only exposes data structure information, representing a low blast radius. The sibling tools on this server include financial operations (invoicing, payments) and destructive actions (archiving), making the classification difference clear.
From the tool's definition Tool name 'list_workspace_custom_fields' indicates a listing/querying operation. The 'list_' prefix is consistently associated with read-only retrieval operations.
Attacks that exploit this kind of access
list_workspace_custom_fields. It is categorised as a Read tool in the Clockify Time Tracking MCP Server, which means it retrieves data without modifying state.
Register the Clockify Time Tracking MCP server in PolicyLayer and add a rule for list_workspace_custom_fields: 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.
list_workspace_custom_fields 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 list_workspace_custom_fields 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 list_workspace_custom_fields. 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.
list_workspace_custom_fields 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.
Teams ship this data inside their own products. See what a licence covers →