chat_stream · Tenzro Ledger MCP: Risk & Policy

WHAT IT DOES

What chat_stream does on Tenzro Ledger MCP

AI agents invoke chat_stream to trigger actions in Tenzro Ledger MCP. 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 chat_stream needs a policy

This tool executes an external AI inference/chat completion request and streams results. It is not a simple read (it sends data and triggers computation), nor does it modify persistent data. Given the server context includes inference capabilities, this is an Execute-category action. Misuse could result in unauthorized AI inference calls or prompt injection, hence medium severity.

From the tool's definition 'Send a chat completion request and stream the response token by token' — triggers an external operation (inference call) whose output depends on the input arguments

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

chat_stream Rate-limited

chat_stream 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": {
    "chat_stream": {
      "limits": [
        {
          "counter": "chat_stream_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 Tenzro Ledger MCP, so you can run agents against it safely.

FAQ

Questions about chat_stream

What does the chat_stream tool do? +

Send a chat completion request and stream the response token by token. It is categorised as a Execute tool in the Tenzro Ledger MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on chat_stream? +

Register the Tenzro Ledger MCP server in PolicyLayer and add a rule for chat_stream: 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 Tenzro Ledger MCP. Nothing to install.

What risk level is chat_stream? +

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

Can I rate-limit chat_stream? +

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

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

chat_stream is provided by the Tenzro Ledger MCP server (https://canton-mcp.tenzro.network/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.