expose_xo_app
AI agents invoke expose_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.
The tool performs an infrastructure operation (exposing/publishing an XO application) that executes against external systems and cannot be treated as simple data retrieval. This is classified as Execute rather than Write because it triggers operational state changes in a container/application platform.
From the tool's definition Tool name 'expose_xo_app' indicates it triggers external operations (network exposure/publication of applications).
Attacks that exploit this kind of access
expose_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 expose_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.
expose_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 expose_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 expose_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.
expose_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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