start_xo_app
AI agents invoke start_xo_app to trigger actions in XO MCP Server. 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.
Starting an application is an Execute action—it triggers external operations (container/service startup) whose effects depend on which app is targeted and the XO platform's state. While reversible via stop_xo_app, the action itself initiates processes and resource allocation outside the AI's control. This poses a moderate-to-high blast radius if an agent starts unintended or resource-intensive applications.
From the tool's definition Tool name 'start_xo_app' indicates execution of application startup operations. Server description mentions 'deploy, manage, and interact with applications on XO infrastructure' and 'application lifecycle management'.
Attacks that exploit this kind of access
start_xo_app. It is categorised as a Execute tool in the XO MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the XO MCP Server MCP server in PolicyLayer and add a rule for start_xo_app: 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 XO MCP Server. Nothing to install.
start_xo_app 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_xo_app 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_xo_app. 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_xo_app is provided by the XO MCP Server MCP server (sharmasuraj0123/xo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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