apply_local_preset
AI agents use apply_local_preset to create or update resources in Rawtherapee — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rawtherapee environment.
Based on the tool name and server context, 'apply_local_preset' likely applies a local editing preset to an image, which is a write/modify operation on photo development settings. Confidence is low due to the empty description.
From the tool's definition Tool name 'apply_local_preset' and empty description; sibling tools include 'add_device_preset_tool', 'adjust_local_spot', 'adjust_profile' suggesting preset/profile application to images
Attacks that exploit this kind of access
apply_local_preset. It is categorised as a Write tool in the Rawtherapee MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Rawtherapee MCP server in PolicyLayer and add a rule for apply_local_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 Rawtherapee. Nothing to install.
apply_local_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 apply_local_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 apply_local_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.
apply_local_preset is provided by the Rawtherapee MCP server (lucamarien/rawtherapee-mcp-server). 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.
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