AI agents call list_schedules 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.
This tool retrieves and displays information about existing scheduled tasks without modifying, deleting, or executing them. It is a read-only operation that returns data about the state of scheduled items. The blast radius of misuse is minimal—an attacker could view what tasks are scheduled but cannot modify infrastructure or trigger unintended actions through this tool alone.
From the tool's definition Tool name 'list_schedules' and description '查看所有定时任务' (view all scheduled tasks) indicate a query/list operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_schedules 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 list_schedules:
{
"version": "1",
"default": "deny",
"tools": {
"list_schedules": {}
}
}list_schedules is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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查看所有定时任务. 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 list_schedules: 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.
list_schedules 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 list_schedules 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 list_schedules. 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.
list_schedules 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.