Auto-tags channels based on title, username, and cached metadata.
AI agents use autoTagChannels to create or update resources in Telegram MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Telegram MCP Server environment.
The tool modifies data by automatically applying tags to channels, which is a write operation that creates/updates metadata. It is reversible (tags can be removed), hence Write rather than Destructive. Misuse could result in mass-tagging channels incorrectly, giving it medium severity.
From the tool's definition Auto-tags channels based on title, username, and cached metadata
Documented attack patterns abuse exactly the kind of access autoTagChannels gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Telegram MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for autoTagChannels:
{
"version": "1",
"default": "deny",
"tools": {
"autoTagChannels": {
"limits": [
{
"counter": "autotagchannels_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}autoTagChannels 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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Auto-tags channels based on title, username, and cached metadata. It is categorised as a Write tool in the Telegram MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Telegram MCP Server MCP server in PolicyLayer and add a rule for autoTagChannels: 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 Server. Nothing to install.
autoTagChannels 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 autoTagChannels 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 autoTagChannels. 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.
autoTagChannels is provided by the Telegram MCP Server MCP server (kfastov/tgcli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Telegram MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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38 Telegram MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.