AI agents invoke send_http_payload_curl to trigger actions in SeldomMaster. 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.
The tool name suggests it sends HTTP payloads using curl, which constitutes executing an external operation with effects dependent on the arguments provided. Given the server's explicit 'local network hacking' context and sibling tools like 'fetch_web_page_curl', this tool likely sends crafted/arbitrary HTTP requests that could probe, exploit, or interact with network services.
From the tool's definition Tool name 'send_http_payload_curl' and server context describing 'local network hacking' strongly imply sending arbitrary HTTP payloads via curl to external or internal targets.
Documented attack patterns abuse exactly the kind of access send_http_payload_curl gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SeldomMaster, and nothing reaches the server without passing your rules. This is the rule we recommend for send_http_payload_curl:
{
"version": "1",
"default": "deny",
"tools": {
"send_http_payload_curl": {
"limits": [
{
"counter": "send_http_payload_curl_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}send_http_payload_curl 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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send_http_payload_curl. It is categorised as a Execute tool in the SeldomMaster MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the SeldomMaster MCP server in PolicyLayer and add a rule for send_http_payload_curl: 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 SeldomMaster. Nothing to install.
send_http_payload_curl 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 send_http_payload_curl 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_http_payload_curl. 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_http_payload_curl is provided by the SeldomMaster MCP server (paralax/seldommonster). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SeldomMaster, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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52 SeldomMaster tools catalogued and risk-classified — across an index of 43,000+ MCP servers.