AI agents use resolve_apply_fairlight_preset to create or update resources in Resolve — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Resolve environment.
Applying a preset modifies the current timeline's audio settings by writing Fairlight audio configuration to it. This is a reversible modification (presets can be changed or removed), so it falls under Write rather than Destructive. Misuse could alter audio settings across the timeline, giving it medium severity.
From the tool's definition Apply a Fairlight preset to the current timeline
Attacks that exploit this kind of access
Apply a Fairlight preset to the current timeline. It is categorised as a Write tool in the Resolve MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Resolve MCP server in PolicyLayer and add a rule for resolve_apply_fairlight_preset: 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 Resolve. Nothing to install.
resolve_apply_fairlight_preset 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 resolve_apply_fairlight_preset 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 resolve_apply_fairlight_preset. 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.
resolve_apply_fairlight_preset is provided by the Resolve MCP server (jenkinsm13/resolve-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →