create_tensor_version

Create a new version for a given tensor.

Server Tensorus MCP tensorus/mcp
Category Write
Risk class Medium
Parameters 00 required

What create_tensor_version does on Tensorus MCP

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

Why create_tensor_version needs a policy

This tool creates/adds a new version record to an existing tensor, which is a write operation that modifies the tensor metadata/versioning system. It is reversible (the version can be removed or replaced), so it does not qualify as Destructive.

From the tool's definition Tool name contains 'create' and description states it creates 'a new version for a given tensor', indicating reversible data modification within the tensor database.

Questions about create_tensor_version

What does the create_tensor_version tool do? +

Create a new version for a given tensor. It is categorised as a Write tool in the Tensorus MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_tensor_version? +

Register the Tensorus MCP server in PolicyLayer and add a rule for create_tensor_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 Tensorus MCP. Nothing to install.

What risk level is create_tensor_version? +

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

Can I rate-limit create_tensor_version? +

Yes. Add a rate_limit block to the create_tensor_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 create_tensor_version completely? +

Set action: deny in the PolicyLayer policy for create_tensor_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 create_tensor_version? +

create_tensor_version is provided by the Tensorus MCP server (tensorus/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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