AI agents invoke telegram_send_message to trigger actions in autoMate. 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.
Sending a message to an external party via Telegram is an outbound communication action with real-world side effects. It is not a simple write to an internal store — it triggers an external operation (message delivery to a recipient). This falls under Execute due to the external trigger.
From the tool's definition Tool name 'telegram_send_message' — no description provided; name implies sending a message via Telegram to external parties
Documented attack patterns abuse exactly the kind of access telegram_send_message gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and autoMate, and nothing reaches the server without passing your rules. This is the rule we recommend for telegram_send_message:
{
"version": "1",
"default": "deny",
"tools": {
"telegram_send_message": {
"limits": [
{
"counter": "telegram_send_message_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}telegram_send_message 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.
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telegram_send_message. It is categorised as a Execute tool in the autoMate MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the autoMate MCP server in PolicyLayer and add a rule for telegram_send_message: 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 autoMate. Nothing to install.
telegram_send_message 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 telegram_send_message 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 telegram_send_message. 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.
telegram_send_message is provided by the autoMate MCP server (yuruotong1/automate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 128 autoMate tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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128 autoMate tools catalogued and risk-classified — across an index of 42,500+ MCP servers.