执行任意 FlexScript 表达式(核心方法)
AI agents invoke flexsim_evaluate 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.
This tool explicitly executes arbitrary FlexScript code expressions within the FlexSim simulation engine. The ability to run arbitrary code means an AI agent could trigger unintended simulation behaviors, modify model state, or invoke destructive operations depending on what expressions are evaluated.
From the tool's definition 执行任意 FlexScript 表达式(核心方法) — 'execute arbitrary FlexScript expressions (core method)'
Attacks that exploit this kind of access
执行任意 FlexScript 表达式(核心方法). 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_evaluate: 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_evaluate 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_evaluate 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_evaluate. 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_evaluate is provided by the FlexSim MCP Server MCP server (quqbaku/flexsim-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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