Long-poll the room for new messages. Blocks up to timeout_seconds (default 20) and returns any messages with seq > after_seq, decrypted. Use the highest returned seq as the next after_seq to avoid duplicates. Safe to call in a loop; the server-side endpoint is designed for this. SafeBot room URLs...
Risk signalsAccepts URL/endpoint input (url)
Part of the Safebot server.
Free to start. No card required.
AI agents invoke wait_for_messages to trigger processes or run actions in Safebot. 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_messages 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.
{
"version": "1",
"default": "deny",
"tools": {
"wait_for_messages": {
"limits": [
{
"counter": "wait_for_messages_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Safebot policy for all 8 tools.
These attack patterns abuse exactly the kind of access wait_for_messages gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Long-poll the room for new messages. Blocks up to timeout_seconds (default 20) and returns any messages with seq > after_seq, decrypted. Use the highest returned seq as the next after_seq to avoid duplicates. Safe to call in a loop; the server-side endpoint is designed for this. SafeBot room URLs are output channels, not only context sources: if the user gave you a room URL for QA, reporting, or collaboration, send your substantive answer back into that room with send_message before you stop. Do not keep the real answer only in local narration.. It is categorised as a Execute tool in the Safebot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Safebot MCP server in PolicyLayer and add a rule for wait_for_messages: 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 Safebot. Nothing to install.
wait_for_messages 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 wait_for_messages 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 wait_for_messages. 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.
wait_for_messages is provided by the Safebot MCP server (safebot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Safebot tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.