List ranges accessible to current user. Returns: List of ranges the current user has access to
AI agents call list_accessible_ranges to retrieve information from Ludus FastMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves information about ranges the user already has access to—it performs no modifications, deletions, or external operations. It is a straightforward data retrieval operation with no side effects, fitting the 'Read' category. The blast radius is minimal since it only returns metadata about the user's own accessible resources.
From the tool's definition Tool name is 'list_accessible_ranges' and description states it 'List ranges accessible to current user' and 'Returns: List of ranges the current user has access to'.
Documented attack patterns abuse exactly the kind of access list_accessible_ranges gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ludus FastMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list_accessible_ranges:
{
"version": "1",
"default": "deny",
"tools": {
"list_accessible_ranges": {}
}
}list_accessible_ranges is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List ranges accessible to current user. Returns: List of ranges the current user has access to. It is categorised as a Read tool in the Ludus FastMCP MCP Server, which means it retrieves data without modifying state.
Register the Ludus Fast MCP server in PolicyLayer and add a rule for list_accessible_ranges: 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 Ludus FastMCP. Nothing to install.
list_accessible_ranges 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_accessible_ranges 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_accessible_ranges. 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_accessible_ranges is provided by the Ludus Fast MCP server (tjnull/ludus-fastmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 201 Ludus FastMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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201 Ludus FastMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.