AI agents use resolve_set_timeline_mark_in_out 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.
Mark in/out points are reversible edits that change project state (Write category). The severity is medium because misconfigured in/out marks could affect rendering/export scope, but they don't delete data, execute code, or cause financial impact. Confidence is 0.85 because the description is clear about the action (set marks) though it doesn't exhaustively detail all side effects.
From the tool's definition Tool modifies timeline state by setting mark in/out points, which are editing parameters that affect the timeline view and export regions without deleting or destroying underlying media.
Attacks that exploit this kind of access
Set mark in/out points on the timeline. 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_set_timeline_mark_in_out: 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_timeline_mark_in_out 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_set_timeline_mark_in_out 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_timeline_mark_in_out. 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_timeline_mark_in_out 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.
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