Create a scenario playbook for training. Args: scenario_key: Scenario identifier title: Playbook title description: Playbook description objectives: Learning objectives steps: List of playbook steps with instructions user_id: Optional user ID (admin only) Returns: Created playbook information
AI agents use create_scenario_playbook to create or update resources in Ludus FastMCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ludus FastMCP environment.
This tool creates new data (a scenario playbook) in a reversible manner. While it's part of a cyber range management system with potential security implications, the action itself is a standard data creation operation.
From the tool's definition Tool creates a scenario playbook through arguments (scenario_key, title, description, objectives, steps). The verb 'create' and the operation of building new playbook information indicates data creation.
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access create_scenario_playbook 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 create_scenario_playbook:
{
"version": "1",
"default": "deny",
"tools": {
"create_scenario_playbook": {
"limits": [
{
"counter": "create_scenario_playbook_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_scenario_playbook stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Create a scenario playbook for training. Args: scenario_key: Scenario identifier title: Playbook title description: Playbook description objectives: Learning objectives steps: List of playbook steps with instructions user_id: Optional user ID (admin only) Returns: Created playbook information. It is categorised as a Write tool in the Ludus FastMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ludus Fast MCP server in PolicyLayer and add a rule for create_scenario_playbook: 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.
create_scenario_playbook is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_scenario_playbook 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 create_scenario_playbook. 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.
create_scenario_playbook 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.