AI agents invoke info 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.
The server context is a Make/Just task runner MCP server, and the description 'Runs' strongly implies execution of some command or task. Even though 'info' sounds like a read operation, in the context of Make/Just task runners it likely executes a target or command to retrieve information. Confidence is lowered due to the truncated/uninformative description.
From the tool's definition Tool name is 'info' and description says 'Runs' (truncated/incomplete). Server is described as 'MCP server for Make/Just task runners' indicating tools execute task runner commands.
Documented attack patterns abuse exactly the kind of access info 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 info:
{
"version": "1",
"default": "deny",
"tools": {
"info": {
"limits": [
{
"counter": "info_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} info 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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Runs. 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 info: 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.
info 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 info 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 info. 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.
info 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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