AI agents use resolve_import_burn_in_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.
This tool modifies project state by importing a preset, which creates or applies a reversible configuration. It does not delete data (Destructive), execute arbitrary code (Execute), involve financial transactions (Financial), or merely read data (Read). The 'import' action establishes or updates a burn-in overlay preset that affects rendering output.
From the tool's definition Tool name 'resolve_import_burn_in_preset' and description 'Import a burn-in preset (TC overlay, slate info for dailies/review)' indicates loading/importing preset configuration data into DaVinci Resolve.
Attacks that exploit this kind of access
Import a burn-in preset (TC overlay, slate info for dailies/review). 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_import_burn_in_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_import_burn_in_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_import_burn_in_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_import_burn_in_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_import_burn_in_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.
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