This record as markdown: /tools/spranab-truenas-mcp/cloudsync-update.md
What cloudsync_update does on Truenas
AI agents use cloudsync_update to create or update resources in Truenas, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Truenas environment.
Why cloudsync_update is rated Medium
This tool modifies cloud synchronization task settings, which is a reversible write operation. However, cloud sync tasks can influence data replication and storage behavior, making incorrect updates potentially disruptive to backup or sync operations.
From the tool's definition Tool name 'cloudsync_update' indicates modification of existing cloud sync task configuration. Description states 'Update an existing cloud sync task' which involves changing stored configuration parameters rather than deletion.
Attacks that exploit this kind of access
The rule that runs cloudsync_update 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_update, this is the rule to start with:
cloudsync_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 Truenas, apply this rule, and every cloudsync_update call is checked against it from then on.
Questions about cloudsync_update
Update an existing cloud sync task. It is categorised as a Write tool in the Truenas MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Truenas MCP server in PolicyLayer and add a rule for cloudsync_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 Truenas. Nothing to install.
cloudsync_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 cloudsync_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 cloudsync_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.
cloudsync_update 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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