Get deployment timeline with progress tracking. Args: user_id: Optional user ID (admin only) Returns: Timeline with steps and progress
AI agents call deployment_timeline 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.
This tool retrieves and displays status information about deployments without modifying, executing, or deleting any data. It is a straightforward read operation with access control via the user_id parameter (admin only). The low severity reflects minimal blast radius—an AI agent misusing this tool could only view timeline data it may not be authorized for, not cause infrastructure changes.
From the tool's definition Tool name 'deployment_timeline' and description 'Get deployment timeline with progress tracking' indicate a retrieval operation. The only argument is an optional user_id for filtering, which is a query parameter.
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access deployment_timeline 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 deployment_timeline:
{
"version": "1",
"default": "deny",
"tools": {
"deployment_timeline": {}
}
}deployment_timeline is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get deployment timeline with progress tracking. Args: user_id: Optional user ID (admin only) Returns: Timeline with steps and progress. 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 deployment_timeline: 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.
deployment_timeline 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 deployment_timeline 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 deployment_timeline. 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.
deployment_timeline 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.
Free to start. No card required.
201 Ludus FastMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.