Stop the currently running time entry
AI agents use stop_tracking to create or update resources in Lazy Toggl MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Lazy Toggl MCP Server environment.
Stopping a time entry modifies state in Toggl (ends the running entry) but is a reversible write action — the entry is not deleted, and tracking can be restarted. No data is destroyed, no finances are moved, and no arbitrary code is executed.
From the tool's definition 'Stop the currently running time entry' — terminates an active tracking session in Toggl
Attacks that exploit this kind of access
Stop the currently running time entry. It is categorised as a Write tool in the Lazy Toggl MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Lazy Toggl MCP Server MCP server in PolicyLayer and add a rule for stop_tracking: 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 Lazy Toggl MCP Server. Nothing to install.
stop_tracking 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 stop_tracking 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 stop_tracking. 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.
stop_tracking is provided by the Lazy Toggl MCP Server MCP server (movstox/lazy-toggl-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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