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wait_for_conversation

Wait for a conversation turn to complete, emitting live synthetic progress. Preferred over manually polling get_conversation. Since conversation processing has no native progress signal, this tool emits time-based synthetic progress — advancing quickly at first, then slowing as it approaches expe...

Part of the Hyperplexity server.

wait_for_conversation can trigger actions in Hyperplexity, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke wait_for_conversation to trigger processes or run actions in Hyperplexity. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

wait_for_conversation can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "wait_for_conversation": {
      "limits": [
        {
          "counter": "wait_for_conversation_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access wait_for_conversation gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so wait_for_conversation only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the wait_for_conversation tool do? +

Wait for a conversation turn to complete, emitting live synthetic progress. Preferred over manually polling get_conversation. Since conversation processing has no native progress signal, this tool emits time-based synthetic progress — advancing quickly at first, then slowing as it approaches expected_seconds — so the MCP host shows a "still thinking" indicator rather than a frozen bar. Returns when any of these conditions are met: user_reply_needed=True → AI asked a question; call send_conversation_reply trigger_execution=True → AI approved execution; preview is auto-queued, switch to wait_for_job(session_id) Non-processing status → unexpected terminal (inspect status field) Timeout → returns last known state with _wait_timeout note Applies to all conversation types: upload interview, table-maker interview, config refinement. expected_seconds: typical AI response time for this turn (default 120). First table-maker turn (research + planning): ~120–180s. Upload interview first turn (CSV analysis + plan): ~90–150s. Follow-up confirmations ("yes, proceed"): ~30–60s. poll_interval: seconds between status checks (default 8). timeout_seconds: max wall time before returning (default 900). Upload interview turns can take up to 15 minutes — set accordingly.. It is categorised as a Execute tool in the Hyperplexity MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on wait_for_conversation? +

Register the Hyperplexity MCP server in PolicyLayer and add a rule for wait_for_conversation: 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 Hyperplexity. Nothing to install.

What risk level is wait_for_conversation? +

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

Can I rate-limit wait_for_conversation? +

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

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

wait_for_conversation is provided by the Hyperplexity MCP server (hyperplexity/hyperplexity). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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