This record as markdown: /tools/hybridlabor-api-aos/apply-arri-cdl-lut.md
What apply_arri_cdl_lut does on Aos
AI agents use apply_arri_cdl_lut to create or update resources in Aos, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Aos environment.
Why apply_arri_cdl_lut is rated Medium
Modifies clip properties by applying color/lookup transformations; reversible editing without data deletion.
From the tool's definition Apply ARRI CDL and LUT to a clip.
Attacks that exploit this kind of access
The rule that runs apply_arri_cdl_lut safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For apply_arri_cdl_lut, this is the rule to start with:
apply_arri_cdl_lut 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 Aos, apply this rule, and every apply_arri_cdl_lut call is checked against it from then on.
Questions about apply_arri_cdl_lut
Apply ARRI CDL and LUT to a clip. It is categorised as a Write tool in the Aos MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Aos MCP server in PolicyLayer and add a rule for apply_arri_cdl_lut: 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 Aos. Nothing to install.
apply_arri_cdl_lut 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 apply_arri_cdl_lut 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 apply_arri_cdl_lut. 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.
apply_arri_cdl_lut is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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