pull · Ollama MCP: Risk & Policy

WHAT IT DOES

What pull does on Ollama

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

WHY IT NEEDS A POLICY

Why pull needs a policy

Pulling a model downloads and stores it locally, creating new data on the system. This is a write operation (adds a model to local storage) but is reversible (the model can be deleted). Misuse could consume significant disk space or introduce untrusted models, hence medium severity.

From the tool's definition Pull a model from a registry

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

pull Rate-limited

pull 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": {
    "pull": {
      "limits": [
        {
          "counter": "pull_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 Ollama, so you can run agents against it safely.

FAQ

Questions about pull

What does the pull tool do? +

Pull a model from a registry. It is categorised as a Write tool in the Ollama MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pull? +

Register the Ollama MCP server in PolicyLayer and add a rule for pull: 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 Ollama. Nothing to install.

What risk level is pull? +

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

Can I rate-limit pull? +

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

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

pull is provided by the Ollama MCP server (ollama-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.