sampleConversation · MCP Elicitations Demo Server MCP

WHAT IT DOES

What sampleConversation does on MCP Elicitations Demo Server

AI agents invoke sampleConversation 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 sampleConversation needs a policy

This tool triggers an LLM sampling operation to generate the next response in a conversation, which constitutes executing an external operation (LLM inference call). The effect depends on the conversation input, and it interacts with an external system (the LLM). It is not a simple read since it actively invokes a generative process, and not purely a write since it doesn't store data.

From the tool's definition Continue a conversation by sampling the next assistant response

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

sampleConversation Rate-limited

sampleConversation 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": {
    "sampleConversation": {
      "limits": [
        {
          "counter": "sampleconversation_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 sampleConversation

What does the sampleConversation tool do? +

Continue a conversation by sampling the next assistant response. 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 sampleConversation? +

Register the MCP Elicitations Demo Server MCP server in PolicyLayer and add a rule for sampleConversation: 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 sampleConversation? +

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

Can I rate-limit sampleConversation? +

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

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

sampleConversation 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.