This record as markdown: /tools/eaveluo-1panel-mcp/update-app.md
What update_app does on 1Panel MCP Server
AI agents use update_app to create or update resources in 1Panel MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 1Panel MCP Server environment.
Why update_app is rated Medium
Updating an application modifies existing data/configuration reversibly. The description is minimal, but 'update' consistently implies a Write operation — changing an app's state, configuration, or version. Severity is medium because a misapplied update could disrupt services, but it is generally reversible.
From the tool's definition Tool name 'update_app' and description 'Update app' indicate a modification operation on an existing application.
Attacks that exploit this kind of access
The rule that runs update_app safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 1Panel MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_app, this is the rule to start with:
update_app stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 1Panel MCP Server, apply this rule, and every update_app call is checked against it from then on.
Questions about update_app
update_app is a write tool on the 1Panel MCP Server MCP server. It is categorised as a Write tool in the 1Panel MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the 1Panel MCP Server MCP server in PolicyLayer and add a rule for update_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 1Panel MCP Server. Nothing to install.
update_app is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_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 update_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.
update_app is provided by the 1Panel MCP Server MCP server (eaveluo/1panel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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