Low Risk

get_pending_ai_tasks

获取所有待AI润色执行的定时任务

How to control get_pending_ai_tasks ↓

What get_pending_ai_tasks does on Telegram MCP Complete

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.

Low Risk

Why get_pending_ai_tasks needs a policy

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:

How to control get_pending_ai_tasks

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:

policy.json
{
  "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.

  1. Create a free account and register Telegram MCP Complete — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_pending_ai_tasks

What does the get_pending_ai_tasks tool do? +

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.

How do I enforce a policy on get_pending_ai_tasks? +

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.

What risk level is get_pending_ai_tasks? +

get_pending_ai_tasks is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_pending_ai_tasks? +

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.

How do I block get_pending_ai_tasks completely? +

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.

What MCP server provides get_pending_ai_tasks? +

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.

Enforce policy on every Telegram MCP Complete tool call.

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.

Free to start. No card required.

153 Telegram MCP Complete tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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