video_job_status
video_render가 시작한 비동기 FFmpeg 작업의 상태와 결과 절대경로를 조회합니다. 실패한 경우 로그 마지막 부분을 함께 반환합니다.
This record as markdown: /tools/yoonion-mimi-seed-mcp/video-job-status.md
What video_job_status does on Mimi Seed
AI agents call video_job_status to retrieve information from Mimi Seed without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why video_job_status is rated Low
Tool retrieves job status and logs without creating, modifying, or deleting data.
From the tool's definition queries status and results of async FFmpeg jobs; no modifications
Attacks that exploit this kind of access
The rule that runs video_job_status 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_job_status, this is the rule to start with:
video_job_status is read-only, so it stays allowed. 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_job_status call is checked against it from then on.
Questions about video_job_status
video_render가 시작한 비동기 FFmpeg 작업의 상태와 결과 절대경로를 조회합니다. 실패한 경우 로그 마지막 부분을 함께 반환합니다. It is categorised as a Read tool in the Mimi Seed MCP Server, which means it retrieves data without modifying state.
Register the Mimi Seed MCP server in PolicyLayer and add a rule for video_job_status: 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_job_status 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 video_job_status 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_job_status. 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_job_status 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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