Stop the running simulation.
AI agents invoke flexsim_stop to trigger actions in FlexSim MCP Server. 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.
The tool executes a command to halt an ongoing simulation process. While stopping a simulation is not destructive (it doesn't delete or permanently modify data) nor Financial, it is an Execute action because it triggers a state change in an external system (the FlexSim simulation engine).
From the tool's definition Tool description: 'Stop the running simulation.' This terminates an active process/operation that was triggered externally.
Attacks that exploit this kind of access
Stop the running simulation. It is categorised as a Execute tool in the FlexSim MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the FlexSim MCP Server MCP server in PolicyLayer and add a rule for flexsim_stop: 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 FlexSim MCP Server. Nothing to install.
flexsim_stop 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 flexsim_stop 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 flexsim_stop. 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.
flexsim_stop is provided by the FlexSim MCP Server MCP server (sethgame/mcp_flexsim). 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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