chat_stream
Send a chat completion request and stream the response token by token.
This record as markdown: /tools/network-tenzro-tenzro/chat-stream.md
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 chat_stream is rated High
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
The rule that runs chat_stream safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tenzro Ledger MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For chat_stream, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect Tenzro Ledger MCP, apply this rule, and every chat_stream call is checked against it from then on.
Questions about chat_stream
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.
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.
chat_stream is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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.
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.
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.
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