start_conversation_with_context

WHAT IT DOES

What start_conversation_with_context does on Cluster Execution MCP Server

AI agents invoke start_conversation_with_context to trigger actions in Cluster Execution 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 start_conversation_with_context needs a policy

Although the tool description is absent, the server's explicit purpose—enabling 'command execution' and 'remote node management'—combined with the tool's position among execution-focused siblings and the contextual setup for 'agentic workflows', strongly indicates this tool initiates execution actions on cluster nodes. An AI agent misusing this could trigger unintended commands across multiple systems.

From the tool's definition Server description explicitly states 'command execution' and 'SSH' remote node management across 'distributed nodes'. The tool name 'start_conversation_with_context' on a 'Cluster Execution MCP Server' indicates initiating execution workflows.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

start_conversation_with_context Rate-limited

start_conversation_with_context 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": {
    "start_conversation_with_context": {
      "limits": [
        {
          "counter": "start_conversation_with_context_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 Cluster Execution MCP Server, so you can run agents against it safely.

FAQ

Questions about start_conversation_with_context

What does the start_conversation_with_context tool do? +

start_conversation_with_context. It is categorised as a Execute tool in the Cluster Execution 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 start_conversation_with_context? +

Register the Cluster Execution MCP Server MCP server in PolicyLayer and add a rule for start_conversation_with_context: 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 Cluster Execution MCP Server. Nothing to install.

What risk level is start_conversation_with_context? +

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

Can I rate-limit start_conversation_with_context? +

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

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

start_conversation_with_context is provided by the Cluster Execution MCP Server MCP server (marc-shade/cluster-execution-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.