apply_fairlight_preset

Apply a Fairlight preset to the current timeline.

SERVERAos SOURCE@hybridlabor-api/aos

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/hybridlabor-api-aos/apply-fairlight-preset.md

WHAT IT DOES

What apply_fairlight_preset does on Aos

AI agents use apply_fairlight_preset 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.

RISK

Why apply_fairlight_preset is rated Medium

Modifies audio settings on timeline reversibly; no data deletion or financial impact.

From the tool's definition Apply a Fairlight preset to the current timeline.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs apply_fairlight_preset 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_fairlight_preset, this is the rule to start with:

apply_fairlight_preset Rate-limited

apply_fairlight_preset 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "apply_fairlight_preset": {
      "limits": [
        {
          "counter": "apply_fairlight_preset_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Aos, apply this rule, and every apply_fairlight_preset call is checked against it from then on.

FAQ

Questions about apply_fairlight_preset

What does the apply_fairlight_preset tool do? +

Apply a Fairlight preset to the current timeline. 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.

How do I enforce a policy on apply_fairlight_preset? +

Register the Aos MCP server in PolicyLayer and add a rule for 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 Aos. Nothing to install.

What risk level is apply_fairlight_preset? +

apply_fairlight_preset is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit apply_fairlight_preset? +

Yes. Add a rate_limit block to the 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.

How do I block apply_fairlight_preset completely? +

Set action: deny in the PolicyLayer policy for 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.

What MCP server provides apply_fairlight_preset? +

apply_fairlight_preset 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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