Runs go vet and returns structured static analysis diagnostics with analyzer names. Uses -json flag for native JSON output with automatic text fallback.
AI agents invoke vet to trigger actions in Make. 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 the `go vet` command, which runs static analysis on Go source code. While it is read-only in terms of data modification (it doesn't write or delete files), it executes an external process/command whose behavior depends on the codebase provided. It falls under Execute as it triggers an external operation.
From the tool's definition 'Runs go vet' - executes a static analysis tool against code
Documented attack patterns abuse exactly the kind of access vet gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Make, and nothing reaches the server without passing your rules. This is the rule we recommend for vet:
{
"version": "1",
"default": "deny",
"tools": {
"vet": {
"limits": [
{
"counter": "vet_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}vet 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 go vet and returns structured static analysis diagnostics with analyzer names. Uses -json flag for native JSON output with automatic text fallback. It is categorised as a Execute tool in the Make MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Make MCP server in PolicyLayer and add a rule for vet: 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 Make. Nothing to install.
vet 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 vet 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 vet. 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.
vet is provided by the Make 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 Make, 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.
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