This record as markdown: /tools/tjnull-ludus-fastmcp/start-testing.md
What start_testing does on Ludus FastMCP
AI agents invoke start_testing to trigger actions in Ludus FastMCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why start_testing is rated High
This tool executes an action that transitions a range into an active testing state, triggering operations on external systems (the cyber range). While not destructive or financial, it initiates dynamic behavioral changes in the managed infrastructure whose side effects depend on how the range is configured.
From the tool's definition Tool name 'start_testing' and description 'Start testing state for the range' indicate initiation of operations on cyber range environments.
Attacks that exploit this kind of access
The rule that runs start_testing safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ludus FastMCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For start_testing, this is the rule to start with:
start_testing stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ludus FastMCP, apply this rule, and every start_testing call is checked against it from then on.
Questions about start_testing
Start testing state for the range. It is categorised as a Execute tool in the Ludus FastMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ludus Fast MCP server in PolicyLayer and add a rule for start_testing: 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.
start_testing is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the start_testing 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 start_testing. 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.
start_testing 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.
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