AI agents use send_sticker to create or update resources in Telegram MCP Complete — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Telegram MCP Complete environment.
Sending a sticker is a write operation that creates new content in a chat. It is reversible (messages can be deleted) and has no financial impact or destructive effects. The severity is medium because an AI agent could spam stickers across many chats, disrupt conversations, or abuse accounts at scale, but individual stickers cause no irreversible damage.
From the tool's definition Tool name is 'send_sticker' with description '发送贴纸' (send sticker in Chinese). This action creates and sends a message/media item to a Telegram chat, which is a write operation that modifies chat history reversibly.
Documented attack patterns abuse exactly the kind of access send_sticker gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Telegram MCP Complete, and nothing reaches the server without passing your rules. This is the rule we recommend for send_sticker:
{
"version": "1",
"default": "deny",
"tools": {
"send_sticker": {
"limits": [
{
"counter": "send_sticker_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} send_sticker stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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发送贴纸. It is categorised as a Write tool in the Telegram MCP Complete MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Telegram MCP Complete MCP server in PolicyLayer and add a rule for send_sticker: 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 MCP Complete. Nothing to install.
send_sticker is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the send_sticker 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 send_sticker. 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.
send_sticker is provided by the Telegram MCP Complete MCP server (you922/telegram-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Telegram MCP Complete, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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153 Telegram MCP Complete tools catalogued and risk-classified — across an index of 43,000+ MCP servers.