AI agents call get_range_skeleton 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.
The 'get_' prefix strongly indicates a query/retrieval operation with no side effects. No data is created, modified, deleted, or financial obligations incurred. Confidence is moderate (0.7) due to the empty description providing no explicit confirmation, but the naming convention and context within a range management system support Read classification.
From the tool's definition Tool name is 'get_range_skeleton' suggesting a retrieval operation. The empty description limits evidence, but 'get' is consistently a Read operation across the sibling tools (apply_*, add_*, abort_* indicate Write/Execute patterns).
Documented attack patterns abuse exactly the kind of access get_range_skeleton 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 get_range_skeleton:
{
"version": "1",
"default": "deny",
"tools": {
"get_range_skeleton": {}
}
}get_range_skeleton is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_range_skeleton. 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 get_range_skeleton: 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.
get_range_skeleton 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 get_range_skeleton 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 get_range_skeleton. 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.
get_range_skeleton 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.