schedule_range_tasks
A execute tool on the Ludus Fast MCP server.
This record as markdown: /tools/tjnull-ludus-fastmcp/schedule-range-tasks.md
What schedule_range_tasks does on Ludus FastMCP
AI agents invoke schedule_range_tasks 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 schedule_range_tasks is rated High
Name implies scheduling execution of tasks on cyber range environments.
From the tool's definition uninformative description
Attacks that exploit this kind of access
The rule that runs schedule_range_tasks 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 schedule_range_tasks, this is the rule to start with:
schedule_range_tasks 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 schedule_range_tasks call is checked against it from then on.
Questions about schedule_range_tasks
schedule_range_tasks is a execute tool on the Ludus Fast MCP server. 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 schedule_range_tasks: 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.
schedule_range_tasks 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 schedule_range_tasks 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 schedule_range_tasks. 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.
schedule_range_tasks 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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