Get the name of the current timeline
AI agents call get_current_timeline to retrieve information from DaVinci MCP Professional without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about the current timeline in DaVinci Resolve without modifying, executing operations, or deleting anything. It is a read-only query operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name is 'get_current_timeline' and description states 'Get the name of the current timeline' — a pure retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_current_timeline gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DaVinci MCP Professional, and nothing reaches the server without passing your rules. This is the rule we recommend for get_current_timeline:
{
"version": "1",
"default": "deny",
"tools": {
"get_current_timeline": {}
}
} get_current_timeline is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the name of the current timeline. It is categorised as a Read tool in the DaVinci MCP Professional MCP Server, which means it retrieves data without modifying state.
Register the DaVinci MCP Professional MCP server in PolicyLayer and add a rule for get_current_timeline: 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 DaVinci MCP Professional. Nothing to install.
get_current_timeline is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_current_timeline 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 get_current_timeline. 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.
get_current_timeline is provided by the DaVinci MCP Professional MCP server (positronikal/davinci-mcp-professional). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DaVinci MCP Professional, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
13 DaVinci MCP Professional tools catalogued and risk-classified — across an index of 43,000+ MCP servers.