model_save_version

model_save_version

Server Flex Sensor Agent tonghui666/flex-sensor-agent-mcp
Category Write
Risk class Medium
Parameters 00 required

What model_save_version does on Flex Sensor Agent

AI agents use model_save_version to create or update resources in Flex Sensor Agent — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Flex Sensor Agent environment.

Why model_save_version needs a policy

The verb 'save' combined with 'version' suggests the tool creates or modifies a stored version of a COMSOL model—a reversible Write action. Within the flex-sensor simulation workflow, saving versions is consistent with model management (building, parameterizing, exporting).

From the tool's definition Tool name 'model_save_version' indicates creation or modification of versioned model data within COMSOL simulation context. Description is empty, limiting direct confirmation.

Questions about model_save_version

What does the model_save_version tool do? +

model_save_version. It is categorised as a Write tool in the Flex Sensor Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on model_save_version? +

Register the Flex Sensor Agent MCP server in PolicyLayer and add a rule for model_save_version: 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 Flex Sensor Agent. Nothing to install.

What risk level is model_save_version? +

model_save_version is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit model_save_version? +

Yes. Add a rate_limit block to the model_save_version 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.

How do I block model_save_version completely? +

Set action: deny in the PolicyLayer policy for model_save_version. 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.

What MCP server provides model_save_version? +

model_save_version is provided by the Flex Sensor Agent MCP server (tonghui666/flex-sensor-agent-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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