Runs golangci-lint and returns structured lint diagnostics (file, line, linter, severity, message).
AI agents invoke golangci-lint 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.
The tool runs an external process (golangci-lint) against code files, which constitutes execution of an external tool. While its primary purpose is analysis/read, it spawns a subprocess whose behavior depends on the arguments and configuration provided.
From the tool's definition 'Runs golangci-lint' — actively executes a linting process on code
Documented attack patterns abuse exactly the kind of access golangci-lint 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 golangci-lint:
{
"version": "1",
"default": "deny",
"tools": {
"golangci-lint": {
"limits": [
{
"counter": "golangci-lint_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} golangci-lint 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.
Free to start. No card required.
Runs golangci-lint and returns structured lint diagnostics (file, line, linter, severity, message). 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 golangci-lint: 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.
golangci-lint 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 golangci-lint 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 golangci-lint. 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.
golangci-lint 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.