ollama_chat · Ollama-Omega MCP: Risk & Policy

WHAT IT DOES

What ollama_chat does on Ollama-Omega

AI agents invoke ollama_chat to trigger actions in Ollama-Omega. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why ollama_chat needs a policy

This tool triggers execution of an LLM inference request on an Ollama model, which is an external operation with effects that depend on the arguments (model selection, message content). It's not a simple read (it consumes compute resources and may produce side effects depending on model capabilities), placing it in Execute.

From the tool's definition Send a multi-turn chat completion request to an Ollama model

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ollama_chat Rate-limited

ollama_chat stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ollama_chat": {
      "limits": [
        {
          "counter": "ollama_chat_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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-Omega, so you can run agents against it safely.

FAQ

Questions about ollama_chat

What does the ollama_chat tool do? +

Send a multi-turn chat completion request to an Ollama model. It is categorised as a Execute tool in the Ollama-Omega MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ollama_chat? +

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

What risk level is ollama_chat? +

ollama_chat is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ollama_chat? +

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

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

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