test_model_responsiveness · Ollama MCP Server MCP

WHAT IT DOES

What test_model_responsiveness does on Ollama MCP Server

AI agents invoke test_model_responsiveness to trigger actions in Ollama MCP Server. 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 test_model_responsiveness needs a policy

This tool actively sends a prompt to a model and triggers an inference/execution operation against a local LLM. It is not merely reading static data — it initiates an external operation (model inference) whose effects depend on the model and prompt arguments. This places it in the Execute category.

From the tool's definition Test the responsiveness of a specific model by sending a simple prompt

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

test_model_responsiveness Rate-limited

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

FAQ

Questions about test_model_responsiveness

What does the test_model_responsiveness tool do? +

Test the responsiveness of a specific model by sending a simple prompt. It is categorised as a Execute tool in the Ollama MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on test_model_responsiveness? +

Register the Ollama MCP Server MCP server in PolicyLayer and add a rule for test_model_responsiveness: 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 test_model_responsiveness? +

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

Can I rate-limit test_model_responsiveness? +

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

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

test_model_responsiveness 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.