patch_quality_metadata · Tensorus MCP: Risk & Policy

WHAT IT DOES

What patch_quality_metadata does on Tensorus MCP

AI agents use patch_quality_metadata 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 patch_quality_metadata needs a policy

This tool modifies metadata attributes of a tensor descriptor reversibly. It is a Write operation because it updates data without deletion or destruction. Severity is medium because corrupted or malicious metadata could affect downstream analytics, data quality assessment, or tensor operations that depend on metadata, but the effect is limited to metadata rather than the tensor data itself.

From the tool's definition Tool name 'patch_quality_metadata' and description 'Patch quality metadata for a given tensor descriptor' indicate modification of metadata attributes. 'Patch' is an HTTP verb meaning partial update/modification of existing data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

patch_quality_metadata Rate-limited

patch_quality_metadata 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": {
    "patch_quality_metadata": {
      "limits": [
        {
          "counter": "patch_quality_metadata_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 patch_quality_metadata

What does the patch_quality_metadata tool do? +

Patch quality 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 patch_quality_metadata? +

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

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

Can I rate-limit patch_quality_metadata? +

Yes. Add a rate_limit block to the patch_quality_metadata 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 patch_quality_metadata completely? +

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

patch_quality_metadata 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.