AI agents use create_schedule 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.
The tool creates scheduled objects in a Telegram management system, which is reversible data creation (Write category). Severity is medium because scheduling automated messages or actions could affect multiple users and be time-sensitive, but it remains reversible/editable.
From the tool's definition Tool name 'create_schedule' indicates creating a new scheduled item. In the context of a Telegram management MCP with 'scheduling' capabilities mentioned in the server description, this tool creates or modifies scheduling data (scheduling is listed as a core…
Documented attack patterns abuse exactly the kind of access create_schedule 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 create_schedule:
{
"version": "1",
"default": "deny",
"tools": {
"create_schedule": {
"limits": [
{
"counter": "create_schedule_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_schedule 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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create_schedule. 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 create_schedule: 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.
create_schedule 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 create_schedule 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 create_schedule. 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.
create_schedule 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.