app_status

Get detailed status and connection info for a deployed app. Use this after deploy_app to check if an app is running and get its URL.

Server Manifest MCP manifest-network/manifest-mcp-mono
Category Read
Risk class Low
Parameters 00 required

What app_status does on Manifest MCP

AI agents call app_status to retrieve information from Manifest MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why app_status needs a policy

This tool queries the state of a deployed application (status, URL, connection details) without modifying, executing, or deleting anything. It is a pure information retrieval operation, typical of monitoring or diagnostic reads. The low severity reflects minimal blast radius—an AI agent misusing this tool can only retrieve information about existing deployments, not modify infrastructure or trigger operations.

From the tool's definition Tool description states 'Get detailed status and connection info for a deployed app' — uses 'Get' and 'status/connection info' which are retrieval operations with no side effects.

Questions about app_status

What does the app_status tool do? +

Get detailed status and connection info for a deployed app. Use this after deploy_app to check if an app is running and get its URL. It is categorised as a Read tool in the Manifest MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on app_status? +

Register the Manifest MCP server in PolicyLayer and add a rule for app_status: 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 Manifest MCP. Nothing to install.

What risk level is app_status? +

app_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit app_status? +

Yes. Add a rate_limit block to the app_status 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.

How do I block app_status completely? +

Set action: deny in the PolicyLayer policy for app_status. 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.

What MCP server provides app_status? +

app_status is provided by the Manifest MCP server (manifest-network/manifest-mcp-mono). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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