AI agents invoke stop_session_timer to trigger actions in Rize. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes an action that changes the state of an external system (Rize time tracking). While it is not destructive (the session is not deleted), and not a simple read operation, it actively triggers a real-world consequence by terminating a timing operation.
From the tool's definition Tool name: 'stop_session_timer'; description: 'Stop the current session timer'. The tool triggers an external operation (stopping an active timer) whose effect depends on the current state of the system.
Attacks that exploit this kind of access
Stop the current session timer. It is categorised as a Execute tool in the Rize MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Rize MCP server in PolicyLayer and add a rule for stop_session_timer: 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 Rize. Nothing to install.
stop_session_timer is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the stop_session_timer 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_session_timer. 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_session_timer is provided by the Rize MCP server (rize-io/mcp-server). 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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