AI agents call script_list to retrieve information from ScriptFlow MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and enumerates existing scripts without modifying, deleting, executing, or creating any resources. It is purely informational, making it a Read category tool. Severity is low because listing available scripts poses minimal risk; an AI agent cannot cause harm by discovering what scripts exist in the system.
From the tool's definition Tool name 'script_list' combined with description 'List and discover available scripts' indicates a query/retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access script_list gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ScriptFlow MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for script_list:
{
"version": "1",
"default": "deny",
"tools": {
"script_list": {}
}
} script_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List and discover available scripts. It is categorised as a Read tool in the ScriptFlow MCP Server MCP Server, which means it retrieves data without modifying state.
Register the ScriptFlow MCP Server MCP server in PolicyLayer and add a rule for script_list: 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 ScriptFlow MCP Server. Nothing to install.
script_list 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 script_list 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 script_list. 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.
script_list is provided by the ScriptFlow MCP Server MCP server (yanmxa/scriptflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ScriptFlow MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 ScriptFlow MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.