app_status

Build/run status of a container app deployed via publish_site with a Dockerfile. Poll until status is live or failed.

SERVERMcp SOURCEhttps://dataecho.ai/mcp
Low RISK CLASS
Category Read
Parameters 21 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-dataecho-mcp/app-status.md

What app_status does on Mcp

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

ParameterTypeRequiredDescription
logs boolean Include build logs
slug string Yes Site slug

Parameters from the server's own tool schema.

Why app_status is rated Low

app_status is a read-only operation that retrieves status information about an already-deployed container. It has no side effects, does not execute code or trigger deployments, and does not modify any data. The action is purely observational—checking the state of an existing resource. Severity is low because misuse would only reveal status information without enabling harmful actions.

From the tool's definition Tool description states 'Poll until status is `live` or `failed`', indicating it queries and retrieves the current build/run status of a deployed container app without modifying or executing anything.

Questions about app_status

What does the app_status tool do? +

Build/run status of a container app deployed via publish_site with a Dockerfile. Poll until status is live or failed. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does app_status accept? +

app_status accepts 2 parameters: logs, slug. Required: slug. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on app_status? +

Register the 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 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 MCP server (https://dataecho.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on , and thousands of servers like it.

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