turingmind_upload_review · TuringMind MCP Server MCP

WHAT IT DOES

What turingmind_upload_review does on TuringMind MCP Server

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

WHY IT NEEDS A POLICY

Why turingmind_upload_review needs a policy

This tool creates new data records (code review results) in a cloud system. It is reversible (uploaded data can typically be deleted or overwritten), making it Write rather than Destructive. The blast radius is medium because malicious uploads could pollute analytics, create false records, or consume storage/quota, but the core operation doesn't permanently destroy data or move financial resources.

From the tool's definition Tool is described as uploading code review results to TuringMind cloud for analytics and memory. The verb 'upload' and the destination 'to TuringMind cloud' indicate data creation/modification in a remote system.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

turingmind_upload_review Rate-limited

turingmind_upload_review 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": {
    "turingmind_upload_review": {
      "limits": [
        {
          "counter": "turingmind_upload_review_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 TuringMind MCP Server, so you can run agents against it safely.

FAQ

Questions about turingmind_upload_review

What does the turingmind_upload_review tool do? +

Upload code review results to TuringMind cloud for analytics and memory. It is categorised as a Write tool in the TuringMind MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on turingmind_upload_review? +

Register the TuringMind MCP Server MCP server in PolicyLayer and add a rule for turingmind_upload_review: 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 TuringMind MCP Server. Nothing to install.

What risk level is turingmind_upload_review? +

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

Can I rate-limit turingmind_upload_review? +

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

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

turingmind_upload_review is provided by the TuringMind MCP Server MCP server (turingmindai/turingmind-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.