This record as markdown: /tools/spranab-truenas-mcp/replication-run.md
What replication_run does on Truenas
AI agents invoke replication_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 replication_run is rated High
This tool triggers execution of a replication task, which is an external operation whose effects depend on the replication configuration and source/destination parameters. Replication can transfer large amounts of data and modify the target storage system's state.
From the tool's definition Tool name 'replication_run' with description 'Manually run a replication task now' indicates execution of a system-level operation that replicates data between storage systems.
Attacks that exploit this kind of access
The rule that runs replication_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 replication_run, this is the rule to start with:
replication_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 replication_run call is checked against it from then on.
Questions about replication_run
Manually run a replication 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 replication_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.
replication_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 replication_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 replication_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.
replication_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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