create_semantic_metadata_for_tensor

WHAT IT DOES

What create_semantic_metadata_for_tensor does on Tensorus MCP

AI agents use create_semantic_metadata_for_tensor 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 IT NEEDS A POLICY

Why create_semantic_metadata_for_tensor needs a policy

This tool creates and attaches semantic metadata to tensor descriptors. Creating metadata is a reversible write operation—the metadata can be updated or removed without destroying core data. The blast radius is medium: misuse could pollute metadata, confuse lineage/discovery, or degrade data quality, but the core tensor data remains intact and recoverable.

From the tool's definition Tool name 'create_semantic_metadata_for_tensor' and description 'Create semantic metadata' indicate data creation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_semantic_metadata_for_tensor Rate-limited

create_semantic_metadata_for_tensor stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_semantic_metadata_for_tensor": {
      "limits": [
        {
          "counter": "create_semantic_metadata_for_tensor_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Tensorus MCP, so you can run agents against it safely.

FAQ

Questions about create_semantic_metadata_for_tensor

What does the create_semantic_metadata_for_tensor tool do? +

Create semantic metadata for a given tensor descriptor. 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_semantic_metadata_for_tensor? +

Register the Tensorus MCP server in PolicyLayer and add a rule for create_semantic_metadata_for_tensor: 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_semantic_metadata_for_tensor? +

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

Can I rate-limit create_semantic_metadata_for_tensor? +

Yes. Add a rate_limit block to the create_semantic_metadata_for_tensor 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_semantic_metadata_for_tensor completely? +

Set action: deny in the PolicyLayer policy for create_semantic_metadata_for_tensor. 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_semantic_metadata_for_tensor? +

create_semantic_metadata_for_tensor 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.