AI agents call get_pending_ai_tasks to retrieve information from Telegram MCP Complete without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves pending tasks for display/monitoring purposes only. It performs a read-only query against task data without creating, modifying, deleting, or executing any tasks. The absence of action verbs like 'execute', 'run', 'delete', or 'modify' confirms this is a passive data retrieval function with minimal blast radius.
From the tool's definition Tool name 'get_pending_ai_tasks' and description '获取所有待AI润色执行的定时任务' (Get all pending scheduled AI polish tasks) indicate a query/retrieval operation with no modification or execution of tasks.
Documented attack patterns abuse exactly the kind of access get_pending_ai_tasks 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 get_pending_ai_tasks:
{
"version": "1",
"default": "deny",
"tools": {
"get_pending_ai_tasks": {}
}
} get_pending_ai_tasks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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获取所有待AI润色执行的定时任务. It is categorised as a Read tool in the Telegram MCP Complete MCP Server, which means it retrieves data without modifying state.
Register the Telegram MCP Complete MCP server in PolicyLayer and add a rule for get_pending_ai_tasks: 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.
get_pending_ai_tasks is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_pending_ai_tasks 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 get_pending_ai_tasks. 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.
get_pending_ai_tasks 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.