AI agents invoke wait_for_reply to trigger actions in Telegram. 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.
wait_for_reply triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
Wait for the next message in a chat. It is categorised as a Execute tool in the Telegram MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Telegram MCP server in PolicyLayer and add a rule for wait_for_reply: 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 Telegram. Nothing to install.
wait_for_reply 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_reply 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_reply. 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_reply is provided by the Telegram MCP server (zhigang1992/telegram-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.