Generate fully random presets based on parameter statistics from the loaded preset library. Optionally filter the statistical basis by author, category, pattern, or favorites to generate more focused/coherent sounds (e.g., random bass presets). Generated presets are automatically added to the lib...
Part of the u-he Preset Randomizer server.
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AI agents use generate_random_presets to create or modify resources in u-he Preset Randomizer. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call generate_random_presets repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach u-he Preset Randomizer.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"generate_random_presets": {
"limits": [
{
"counter": "generate_random_presets_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full u-he Preset Randomizer policy for all 14 tools.
These attack patterns abuse exactly the kind of access generate_random_presets gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Generate fully random presets based on parameter statistics from the loaded preset library. Optionally filter the statistical basis by author, category, pattern, or favorites to generate more focused/coherent sounds (e.g., random bass presets). Generated presets are automatically added to the library for immediate use with search_presets and explain_preset. Defaults to ${DEFAULT_PRESET_AMOUNT} presets if amount is omitted.. It is categorised as a Write tool in the u-he Preset Randomizer MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the u-he Preset Randomizer MCP server in PolicyLayer and add a rule for generate_random_presets: 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 u-he Preset Randomizer. Nothing to install.
generate_random_presets 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 generate_random_presets 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 generate_random_presets. 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.
generate_random_presets is provided by the u-he Preset Randomizer MCP server (u-he-preset-randomizer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 u-he Preset Randomizer tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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