build_timeline

build_timeline

Server Resolve jenkinsm13/resolve-mcp
Category Execute
Risk class High
Parameters 00 required

What build_timeline does on Resolve

AI agents invoke build_timeline 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.

Why build_timeline needs a policy

Building a timeline in video editing software involves triggering complex video processing and project structure modifications. While not inherently destructive or financial, this is an Execute action because it triggers external operations (timeline composition/rendering setup) whose effects depend on context and could produce unintended results if misused by an AI agent (e.g., overwriting existing timelines,…

From the tool's definition Tool name 'build_timeline' in DaVinci Resolve server suggests executing timeline construction operations. No description provided.

Questions about build_timeline

What does the build_timeline tool do? +

build_timeline. 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.

How do I enforce a policy on build_timeline? +

Register the Resolve MCP server in PolicyLayer and add a rule for build_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 Resolve. Nothing to install.

What risk level is build_timeline? +

build_timeline is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit build_timeline? +

Yes. Add a rate_limit block to the build_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.

How do I block build_timeline completely? +

Set action: deny in the PolicyLayer policy for build_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.

What MCP server provides build_timeline? +

build_timeline 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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