ask_video
Ask a question about a single video's content.
This record as markdown: /tools/0xchamin-mcptube/ask-video.md
What ask_video does on Mcptube Vision
AI agents call ask_video to retrieve information from Mcptube Vision without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why ask_video is rated Low
This tool performs information retrieval (natural language querying) over existing video knowledge. It has no side effects, creates no new data, executes no external operations, and cannot delete or modify content. The query operation itself is read-only against the structured knowledge base.
From the tool's definition Tool name 'ask_video' with description 'Ask a question about a single video's content' — queries and retrieves information from video transcripts and analysis without modifying or deleting data.
Attacks that exploit this kind of access
The rule that runs ask_video safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcptube Vision, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ask_video, this is the rule to start with:
ask_video 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 Mcptube Vision, apply this rule, and every ask_video call is checked against it from then on.
Questions about ask_video
Ask a question about a single video's content. It is categorised as a Read tool in the Mcptube Vision MCP Server, which means it retrieves data without modifying state.
Register the Mcptube Vision MCP server in PolicyLayer and add a rule for ask_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 Mcptube Vision. Nothing to install.
ask_video 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 ask_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 ask_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.
ask_video is provided by the Mcptube Vision MCP server (0xchamin/mcptube). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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