Execute arr suite operations using natural language.
AI agents invoke arr_execute to trigger actions in Arr Suite MCP Server. 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.
This tool triggers external operations on media management systems. While not inherently destructive, it can modify system state (e.g., trigger downloads, add content, change settings) and the natural language interface means an AI could inadvertently cause unintended side effects.
From the tool's definition Tool name 'arr_execute' combined with description 'Execute arr suite operations using natural language' indicates the tool runs operations on media automation services (Sonarr, Radarr, Prowlarr, Bazarr, Overseerr, Plex).
Documented attack patterns abuse exactly the kind of access arr_execute gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Arr Suite MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for arr_execute:
{
"version": "1",
"default": "deny",
"tools": {
"arr_execute": {
"limits": [
{
"counter": "arr_execute_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} arr_execute 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.
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Execute arr suite operations using natural language. It is categorised as a Execute tool in the Arr Suite MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Arr Suite MCP Server MCP server in PolicyLayer and add a rule for arr_execute: 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 Arr Suite MCP Server. Nothing to install.
arr_execute 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 arr_execute 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 arr_execute. 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.
arr_execute is provided by the Arr Suite MCP Server MCP server (shaktech786/arr-suite-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Arr Suite MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
25 Arr Suite MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.