video_studio_publish_prepare

Write platform metadata JSON files without network action.

Server LocalAnt yuga-hashimoto/localant
Category Write
Risk class Medium
Parameters 00 required

What video_studio_publish_prepare does on LocalAnt

AI agents use video_studio_publish_prepare to create or update resources in LocalAnt — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your LocalAnt environment.

Why video_studio_publish_prepare needs a policy

The tool writes metadata files locally, which is a reversible modification operation (Write category). Severity is medium because: (1) it operates on metadata rather than code or sensitive data, (2) an AI agent could be manipulated into writing malformed or misleading platform metadata that affects video publishing workflows, (3) effects are reversible (files can be edited/deleted).

From the tool's definition Tool description explicitly states 'Write platform metadata JSON files' — this creates or modifies data (JSON files) in a reversible manner without executing external actions or deleting data.

Questions about video_studio_publish_prepare

What does the video_studio_publish_prepare tool do? +

Write platform metadata JSON files without network action. It is categorised as a Write tool in the LocalAnt MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on video_studio_publish_prepare? +

Register the LocalAnt MCP server in PolicyLayer and add a rule for video_studio_publish_prepare: 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 LocalAnt. Nothing to install.

What risk level is video_studio_publish_prepare? +

video_studio_publish_prepare is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit video_studio_publish_prepare? +

Yes. Add a rate_limit block to the video_studio_publish_prepare 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 video_studio_publish_prepare completely? +

Set action: deny in the PolicyLayer policy for video_studio_publish_prepare. 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 video_studio_publish_prepare? +

video_studio_publish_prepare is provided by the LocalAnt MCP server (yuga-hashimoto/localant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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