This record as markdown: /tools/nasbridge/app-update.md
What app_update does on Nasbridge
AI agents use app_update to create or update resources in Nasbridge, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nasbridge environment.
Why app_update is rated Medium
Updating an application is a reversible write operation that modifies existing software state. While the blast radius is notable (application updates can affect system stability, introduce bugs, or cause service interruptions, hence 'high' severity), it falls under the Write category rather than Execute or Destructive.
From the tool's definition Tool name 'app_update' and description 'Update an installed app' indicate a modification operation that changes the state of an installed application.
Attacks that exploit this kind of access
The rule that runs app_update safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nasbridge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For app_update, this is the rule to start with:
app_update 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 Nasbridge, apply this rule, and every app_update call is checked against it from then on.
Questions about app_update
Update an installed app. It is categorised as a Write tool in the Nasbridge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Nasbridge MCP server in PolicyLayer and add a rule for app_update: 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 Nasbridge. Nothing to install.
app_update 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 app_update 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 app_update. 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.
app_update is provided by the Nasbridge MCP server (maverick0628/nasbridge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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