AI agents invoke response_received_listener to trigger actions in DrissionPageMCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Given the server context (browser automation, network monitoring), this tool likely registers a listener to monitor network responses, which constitutes executing an external operation/trigger. However, the empty description significantly lowers confidence. It could be Read (monitoring) or Execute (setting up listeners/hooks).
From the tool's definition Tool name 'response_received_listener' on a browser automation server; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access response_received_listener gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DrissionPageMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for response_received_listener:
{
"version": "1",
"default": "deny",
"tools": {
"response_received_listener": {
"limits": [
{
"counter": "response_received_listener_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}response_received_listener stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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response_received_listener. It is categorised as a Execute tool in the DrissionPageMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the DrissionPage MCP server in PolicyLayer and add a rule for response_received_listener: 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 DrissionPageMCP. Nothing to install.
response_received_listener is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the response_received_listener 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 response_received_listener. 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.
response_received_listener is provided by the DrissionPage MCP server (wxhzhwxhzh/drissionpagemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 37 DrissionPageMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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37 DrissionPageMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.