youtube_video_insights
Per-VIDEO performance for a video on the connected channel — views, estimated minutes watched, average view duration, average view PERCENTAGE (the retention number that tells you whether the hook held), likes, comments, shares and subscribers gained. Use it for
This record as markdown: /tools/hermoso/youtube-video-insights.md
What youtube_video_insights does on Hermoso
AI agents call youtube_video_insights to retrieve information from Hermoso without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why youtube_video_insights is rated Low
Even though youtube_video_insights only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs youtube_video_insights safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hermoso, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For youtube_video_insights, this is the rule to start with:
youtube_video_insights 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 Hermoso, apply this rule, and every youtube_video_insights call is checked against it from then on.
Questions about youtube_video_insights
Per-VIDEO performance for a video on the connected channel — views, estimated minutes watched, average view duration, average view PERCENTAGE (the retention number that tells you whether the hook held), likes, comments, shares and subscribers gained. Use it for. It is categorised as a Read tool in the Hermoso MCP Server, which means it retrieves data without modifying state.
Register the Hermoso MCP server in PolicyLayer and add a rule for youtube_video_insights: 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 Hermoso. Nothing to install.
youtube_video_insights 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 youtube_video_insights 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 youtube_video_insights. 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.
youtube_video_insights is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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