vision.search.video
Register video-search metadata without fetching media bodies.
This record as markdown: /tools/visionmcp/vision.search.video.md
What vision.search.video does on Visionmcp
AI agents use vision.search.video to create or update resources in Visionmcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Visionmcp environment.
Why vision.search.video is rated Medium
The tool registers (writes/creates) metadata, which is a reversible write operation. It does not fetch or retrieve data (ruling out Read), nor does it execute code or delete data. The 'register' action implies creating a new record in the system.
From the tool's definition Register video-search metadata without fetching media bodies
Attacks that exploit this kind of access
The rule that runs vision.search.video safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Visionmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For vision.search.video, this is the rule to start with:
vision.search.video stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Visionmcp, apply this rule, and every vision.search.video call is checked against it from then on.
Questions about vision.search.video
Register video-search metadata without fetching media bodies. It is categorised as a Write tool in the Visionmcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Vision MCP server in PolicyLayer and add a rule for vision.search.video: 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 Visionmcp. Nothing to install.
vision.search.video is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the vision.search.video 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 vision.search.video. 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.
vision.search.video is provided by the Vision MCP server (joshuahickscorp/visionmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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