Analyze a YouTube video and generate a structured course outline. Extracts the transcript (or uses video analysis as fallback) and reorganizes it into a teaching outline. Cost: min 30 credits, actual = max(30, ceil(video_duration_minutes) x 2). A 5-min video costs 30 credits, a 60-min video costs...
Risk signalsAccepts URL/endpoint input (url)
Part of the SlideMaster server.
Free to start. No card required.
AI agents use youtube_to_outline to create or modify resources in SlideMaster. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call youtube_to_outline repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach SlideMaster.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"youtube_to_outline": {
"limits": [
{
"counter": "youtube_to_outline_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full SlideMaster policy for all 32 tools.
These attack patterns abuse exactly the kind of access youtube_to_outline gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Analyze a YouTube video and generate a structured course outline. Extracts the transcript (or uses video analysis as fallback) and reorganizes it into a teaching outline. Cost: min 30 credits, actual = max(30, ceil(video_duration_minutes) x 2). A 5-min video costs 30 credits, a 60-min video costs 120 credits. Response includes credits_used and balance_after.. It is categorised as a Write tool in the SlideMaster MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the SlideMaster MCP server in PolicyLayer and add a rule for youtube_to_outline: 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 SlideMaster. Nothing to install.
youtube_to_outline 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 youtube_to_outline 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_to_outline. 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_to_outline is provided by the SlideMaster MCP server (@slidemaster/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 32 SlideMaster tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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