获取模型参数
AI agents call flexsim_get_parameter to retrieve information from FlexSim MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves parameter values from a FlexSim simulation model. The 'get' operation is read-only and returns information without altering state, triggering code execution, or causing irreversible changes. It is functionally equivalent to querying or fetching data, consistent with the Read category.
From the tool's definition Tool name 'flexsim_get_parameter' and description '获取模型参数' (Chinese: 'get model parameter') indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
获取模型参数. It is categorised as a Read tool in the FlexSim MCP Server MCP Server, which means it retrieves data without modifying state.
Register the FlexSim MCP Server MCP server in PolicyLayer and add a rule for flexsim_get_parameter: 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_get_parameter 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 flexsim_get_parameter 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_get_parameter. 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_get_parameter 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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