get_project_scheduling_totals
AI agents call get_project_scheduling_totals 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.
The verb 'get' combined with 'scheduling_totals' clearly indicates this is a data retrieval tool that computes or fetches summary statistics about project scheduling/time allocation. No modification, deletion, or financial transaction is implied. Misuse would pose low risk—an agent could retrieve unwanted scheduling information but cannot modify records or cause irreversible damage.
From the tool's definition Tool name 'get_project_scheduling_totals' indicates a retrieval operation (get/read pattern). The function returns aggregated time data for a project without modifying or deleting any data.
Attacks that exploit this kind of access
get_project_scheduling_totals. 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 get_project_scheduling_totals: 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.
get_project_scheduling_totals 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_project_scheduling_totals 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_project_scheduling_totals. 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_project_scheduling_totals 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.
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