AI agents invoke resolve_set_playhead to trigger actions in Resolve. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Moving the playhead is an external operation that triggers a UI/state change in DaVinci Resolve. It doesn't read data, write/create content, or destroy anything, but it does trigger an action in an external application. Severity is low as misuse has minimal blast radius — it only changes playback position.
From the tool's definition Move the playhead to a specific timecode
Attacks that exploit this kind of access
Move the playhead to a specific timecode. It is categorised as a Execute tool in the Resolve MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Resolve MCP server in PolicyLayer and add a rule for resolve_set_playhead: 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_set_playhead is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the resolve_set_playhead 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_set_playhead. 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_set_playhead 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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