Pulls a Docker image from a registry and returns structured result with digest info.
AI agents invoke pull 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.
Pulling a Docker image triggers an external network operation that downloads content from a remote registry and modifies the local Docker image cache. This is an Execute-level action as it runs an external operation (docker pull) with effects that depend on the image argument. It is not purely a Read operation since it mutates local state (image store), and it is not Destructive or Financial.
From the tool's definition Pulls a Docker image from a registry and returns structured result with digest info
Documented attack patterns abuse exactly the kind of access pull 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 pull:
{
"version": "1",
"default": "deny",
"tools": {
"pull": {
"limits": [
{
"counter": "pull_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}pull 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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Pulls a Docker image from a registry and returns structured result with digest info. 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 pull: 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.
pull 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 pull 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 pull. 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.
pull 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.
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