AI agents use send_message to create or update resources in Amadeus-QQ-MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amadeus-QQ-MCP environment.
This tool creates/sends messages to QQ users or groups, which is a Write operation—it modifies state (adds messages to chat history) reversibly. Severity is high because an AI agent misusing this could spam users, impersonate the account holder, or send harmful content at scale across private and group chats.
From the tool's definition Tool name 'send_message' in context of 'send and receive QQ messages' server. Sibling tools include 'send_image' and 'send_voice', establishing this as a messaging/communication tool. Description is empty but context is clear.
Documented attack patterns abuse exactly the kind of access send_message gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amadeus-QQ-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for send_message:
{
"version": "1",
"default": "deny",
"tools": {
"send_message": {
"limits": [
{
"counter": "send_message_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}send_message 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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send_message. It is categorised as a Write tool in the Amadeus-QQ-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Amadeus-QQ- MCP server in PolicyLayer and add a rule for send_message: 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 Amadeus-QQ-MCP. Nothing to install.
send_message 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 send_message 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 send_message. 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.
send_message is provided by the Amadeus-QQ- MCP server (julesliu390/amadeus-qq-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amadeus-QQ-MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 Amadeus-QQ-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.