download_log_to_file_resource · PyTorch HUD MCP Server MCP

WHAT IT DOES

What download_log_to_file_resource does on PyTorch HUD MCP Server

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

WHY IT NEEDS A POLICY

Why download_log_to_file_resource needs a policy

The tool writes data to the filesystem by downloading a log to a temporary file. This is a Write operation (creating a file on disk), not merely a Read, though the intent is read-only analysis. The blast radius is medium since it writes to temp storage but doesn't modify source data or execute code.

From the tool's definition Download a job log to a temporary file for analysis

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

download_log_to_file_resource Rate-limited

download_log_to_file_resource 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": {
    "download_log_to_file_resource": {
      "limits": [
        {
          "counter": "download_log_to_file_resource_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 PyTorch HUD MCP Server, so you can run agents against it safely.

FAQ

Questions about download_log_to_file_resource

What does the download_log_to_file_resource tool do? +

Download a job log to a temporary file for analysis. It is categorised as a Write tool in the PyTorch HUD 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 download_log_to_file_resource? +

Register the PyTorch HUD MCP Server MCP server in PolicyLayer and add a rule for download_log_to_file_resource: 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 PyTorch HUD MCP Server. Nothing to install.

What risk level is download_log_to_file_resource? +

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

Can I rate-limit download_log_to_file_resource? +

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

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

download_log_to_file_resource is provided by the PyTorch HUD MCP Server MCP server (izaitsevfb/claude-pytorch-treehugger). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.