Installs Gemfile dependencies using
AI agents invoke bundle-install 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.
Running `bundle install` executes an external command that fetches and installs packages from remote sources, modifying the local filesystem. While reversible in principle, it triggers external operations and code execution (gem native extensions, post-install hooks), placing it in the Execute category. Severity is medium due to potential supply-chain risk from installing arbitrary packages.
From the tool's definition 'Installs Gemfile dependencies using' — runs a package installation command (bundle install) that executes external processes and modifies the local environment by installing Ruby gem dependencies
Documented attack patterns abuse exactly the kind of access bundle-install 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 bundle-install:
{
"version": "1",
"default": "deny",
"tools": {
"bundle-install": {
"limits": [
{
"counter": "bundle-install_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} bundle-install 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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Installs Gemfile dependencies using. 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 bundle-install: 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.
bundle-install 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 bundle-install 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 bundle-install. 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.
bundle-install 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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