AI agents call list_me_scenarios to retrieve information from FiftyOne 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 displays a list of existing model evaluation scenarios. It performs no side effects, does not modify or delete data, and does not execute code or trigger external operations. It is clearly a data retrieval operation, consistent with the Read category.
From the tool's definition Tool name 'list_me_scenarios' uses the verb 'list', which is a read operation. The description indicates it retrieves/queries model evaluation scenarios without indicating any data modification, deletion, or execution capabilities.
Documented attack patterns abuse exactly the kind of access list_me_scenarios gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and FiftyOne MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_me_scenarios:
{
"version": "1",
"default": "deny",
"tools": {
"list_me_scenarios": {}
}
} list_me_scenarios is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List model evaluation scenarios for a. It is categorised as a Read tool in the FiftyOne MCP Server MCP Server, which means it retrieves data without modifying state.
Register the FiftyOne MCP Server MCP server in PolicyLayer and add a rule for list_me_scenarios: 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 FiftyOne MCP Server. Nothing to install.
list_me_scenarios 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_me_scenarios 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_me_scenarios. 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_me_scenarios is provided by the FiftyOne MCP Server MCP server (voxel51/fiftyone-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from FiftyOne 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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47 FiftyOne MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.