sampleWithPreferences · MCP Elicitations Demo Server MCP

WHAT IT DOES

What sampleWithPreferences does on MCP Elicitations Demo Server

AI agents invoke sampleWithPreferences to trigger actions in MCP Elicitations Demo 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 sampleWithPreferences needs a policy

This tool executes an LLM sampling request, which is an active operation that invokes external model inference. It is not merely reading static data but triggering computation/generation. The 'with detailed model preferences' clause suggests parameterized execution. No financial, destructive, or write-to-storage implications are evident, placing it squarely in Execute.

From the tool's definition 'Sample from an LLM with detailed model preferences' — triggers an LLM sampling operation with configurable model preferences, invoking external model execution

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

sampleWithPreferences Rate-limited

sampleWithPreferences 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": {
    "sampleWithPreferences": {
      "limits": [
        {
          "counter": "samplewithpreferences_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 MCP Elicitations Demo Server, so you can run agents against it safely.

FAQ

Questions about sampleWithPreferences

What does the sampleWithPreferences tool do? +

Sample from an LLM with detailed model preferences. It is categorised as a Execute tool in the MCP Elicitations Demo 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 sampleWithPreferences? +

Register the MCP Elicitations Demo Server MCP server in PolicyLayer and add a rule for sampleWithPreferences: 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 MCP Elicitations Demo Server. Nothing to install.

What risk level is sampleWithPreferences? +

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

Can I rate-limit sampleWithPreferences? +

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

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

sampleWithPreferences is provided by the MCP Elicitations Demo Server MCP server (soriat/soria-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.