select_chat_model · Ollama MCP Server MCP: Risk & Policy

WHAT IT DOES

What select_chat_model does on Ollama MCP Server

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

WHY IT NEEDS A POLICY

Why select_chat_model needs a policy

An AI agent can call select_chat_model faster than any human can review — one bad instruction and it creates or modifies resources in Ollama MCP Server by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

select_chat_model Rate-limited

select_chat_model 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": {
    "select_chat_model": {
      "limits": [
        {
          "counter": "select_chat_model_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 MCP Server, so you can run agents against it safely.

FAQ

Questions about select_chat_model

What does the select_chat_model tool do? +

Present available models and help user select one for chat. It is categorised as a Write tool in the Ollama 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 select_chat_model? +

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

What risk level is select_chat_model? +

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

Can I rate-limit select_chat_model? +

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

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

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