This record as markdown: /tools/spranab-truenas-mcp/cloudsync-run.md
What cloudsync_run does on Truenas
AI agents invoke cloudsync_run 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 cloudsync_run is rated High
This tool triggers execution of a cloud synchronization operation, which is an external action whose effects depend on the specific sync configuration. While not immediately destructive or financial, it performs I/O-heavy operations that transfer data to/from cloud storage, making it an Execute category risk.
From the tool's definition Tool name 'cloudsync_run' and description 'Run a cloud sync task now' indicate execution of a configured task that initiates data synchronization with external cloud services.
Attacks that exploit this kind of access
The rule that runs cloudsync_run 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 cloudsync_run, this is the rule to start with:
cloudsync_run 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 cloudsync_run call is checked against it from then on.
Questions about cloudsync_run
Run a cloud sync task now. 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 cloudsync_run: 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.
cloudsync_run 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 cloudsync_run 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 cloudsync_run. 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.
cloudsync_run 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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