AI agents call list_plugins to retrieve information from CHAI pentest tool without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata about loaded plugins without modifying, executing, or destroying any data. It is purely informational and carries minimal risk even if misused by an agent, as the worst outcome would be discovering what plugins are available—valuable for reconnaissance but not directly damaging.
From the tool's definition Tool name 'list_plugins' with description 'List all loaded plugins' performs information retrieval with no side effects. It queries the current state of the system to enumerate loaded extensions.
Documented attack patterns abuse exactly the kind of access list_plugins gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CHAI pentest tool, and nothing reaches the server without passing your rules. This is the rule we recommend for list_plugins:
{
"version": "1",
"default": "deny",
"tools": {
"list_plugins": {}
}
}list_plugins is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all loaded plugins. It is categorised as a Read tool in the CHAI pentest tool MCP Server, which means it retrieves data without modifying state.
Register the CHAI pentest tool MCP server in PolicyLayer and add a rule for list_plugins: 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 CHAI pentest tool. Nothing to install.
list_plugins is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_plugins 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 list_plugins. 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.
list_plugins is provided by the CHAI pentest tool MCP server (nihar-sarkar/chai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CHAI pentest tool, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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16 CHAI pentest tool tools catalogued and risk-classified — across an index of 43,000+ MCP servers.