Manages git submodules. Supports list (default), add, update, sync, and deinit actions. List returns structured submodule data with path, SHA, branch, and status.
AI agents invoke submodule to trigger actions in Http. 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 performs multiple git submodule operations. 'add' creates new submodule entries (Write), 'update' modifies submodule state (Write/Execute), 'sync' modifies URL configurations (Write), and 'deinit' removes/unregisters submodules (potentially Destructive).
From the tool's definition Manages git submodules. Supports list (default), add, update, sync, and deinit actions.
Documented attack patterns abuse exactly the kind of access submodule gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Http, and nothing reaches the server without passing your rules. This is the rule we recommend for submodule:
{
"version": "1",
"default": "deny",
"tools": {
"submodule": {
"limits": [
{
"counter": "submodule_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}submodule 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.
Manages git submodules. Supports list (default), add, update, sync, and deinit actions. List returns structured submodule data with path, SHA, branch, and status. It is categorised as a Execute tool in the Http MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Http MCP server in PolicyLayer and add a rule for submodule: 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 Http. Nothing to install.
submodule 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 submodule 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 submodule. 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.
submodule is provided by the Http MCP server (@paretools/http). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Http, 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 Http tools catalogued and risk-classified — across an index of 43,000+ MCP servers.