video_build_timeline
A execute tool on the Mimi Seed MCP server.
This record as markdown: /tools/yoonion-mimi-seed-mcp/video-build-timeline.md
What video_build_timeline does on Mimi Seed
AI agents invoke video_build_timeline to trigger actions in Mimi Seed. 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 video_build_timeline is rated High
Video build operations likely execute external processes; high blast radius if misconfigured without documented constraints.
From the tool's definition uninformative description
Attacks that exploit this kind of access
The rule that runs video_build_timeline safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mimi Seed, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For video_build_timeline, this is the rule to start with:
video_build_timeline stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mimi Seed, apply this rule, and every video_build_timeline call is checked against it from then on.
Questions about video_build_timeline
video_build_timeline is a execute tool on the Mimi Seed MCP server. It is categorised as a Execute tool in the Mimi Seed MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mimi Seed MCP server in PolicyLayer and add a rule for video_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 Mimi Seed. Nothing to install.
video_build_timeline 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 video_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.
Set action: deny in the PolicyLayer policy for video_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.
video_build_timeline is provided by the Mimi Seed MCP server (@yoonion/mimi-seed-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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