This record as markdown: /tools/spranab-truenas-mcp/app-start.md
What app_start does on Truenas
AI agents invoke app_start to trigger actions in Truenas. 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.
Why app_start is rated High
Starting an application is an Execute action because it initiates code/service execution whose side effects depend on the argument (the app ID). Unlike Read operations (which only retrieve data) or Write operations (which reversibly create/modify data), starting an app runs external processes with real system impact.
From the tool's definition Tool performs 'Start an installed app by its ID' — this is an action that triggers execution of an external application or service, whose effects depend on which app is specified as an argument.
Attacks that exploit this kind of access
The rule that runs app_start safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Truenas, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For app_start, this is the rule to start with:
app_start stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Truenas, apply this rule, and every app_start call is checked against it from then on.
Questions about app_start
Start an installed app by its ID. It is categorised as a Execute tool in the Truenas MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Truenas MCP server in PolicyLayer and add a rule for app_start: 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 Truenas. Nothing to install.
app_start 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 app_start 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_start. 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_start is provided by the Truenas MCP server (spranab/truenas-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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