Makes an HTTP request via curl and returns structured response data (status, headers, body, timing).
AI agents invoke request to trigger actions in Lint. 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.
This tool executes an HTTP request via curl to an arbitrary URL. It triggers external network operations whose effects depend on the arguments provided (e.g., POST requests can modify remote state, arbitrary URLs could be internal services).
From the tool's definition Makes an HTTP request via curl and returns structured response data (status, headers, body, timing)
Documented attack patterns abuse exactly the kind of access request gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Lint, and nothing reaches the server without passing your rules. This is the rule we recommend for request:
{
"version": "1",
"default": "deny",
"tools": {
"request": {
"limits": [
{
"counter": "request_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}request 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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Makes an HTTP request via curl and returns structured response data (status, headers, body, timing). It is categorised as a Execute tool in the Lint MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Lint MCP server in PolicyLayer and add a rule for request: 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 Lint. Nothing to install.
request 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 request 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 request. 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.
request is provided by the Lint MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Lint, 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.
202 Lint tools catalogued and risk-classified — across an index of 43,000+ MCP servers.