Publish a scenario to the community repository. Args: scenario_key: Scenario to publish title: Scenario title description: Scenario description tags: Optional tags for categorization public: Make scenario publicly accessible user_id: Optional user ID (admin only) Returns: Publish result with scen...
AI agents use publish_scenario 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 published content in a community repository and modifies visibility settings. While not immediately destructive or financial, publishing community content has medium severity due to potential for publishing malicious scenarios that could affect other users, and the reversibility depends on whether unpublication is supported (not mentioned).
From the tool's definition Tool performs 'Publish a scenario to the community repository' which creates or modifies data in a shared system.
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access publish_scenario 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 publish_scenario:
{
"version": "1",
"default": "deny",
"tools": {
"publish_scenario": {
"limits": [
{
"counter": "publish_scenario_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}publish_scenario 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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Publish a scenario to the community repository. Args: scenario_key: Scenario to publish title: Scenario title description: Scenario description tags: Optional tags for categorization public: Make scenario publicly accessible user_id: Optional user ID (admin only) Returns: Publish result with scenario URL. 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 publish_scenario: 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.
publish_scenario 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 publish_scenario 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 publish_scenario. 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.
publish_scenario 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.