콘텐츠의 예상 성과를 AI 기반으로 예측합니다. 조회수, 참여율, 공유 가능성을 분석합니다.
Part of the Content Genie server.
Free to start. No card required.
AI agents invoke predict_content_performance to trigger processes or run actions in Content Genie. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
predict_content_performance can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"predict_content_performance": {
"limits": [
{
"counter": "predict_content_performance_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Content Genie policy for all 17 tools.
These attack patterns abuse exactly the kind of access predict_content_performance gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
콘텐츠의 예상 성과를 AI 기반으로 예측합니다. 조회수, 참여율, 공유 가능성을 분석합니다.. It is categorised as a Execute tool in the Content Genie MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Content Genie MCP server in PolicyLayer and add a rule for predict_content_performance: 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 Content Genie. Nothing to install.
predict_content_performance is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the predict_content_performance 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 predict_content_performance. 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.
predict_content_performance is provided by the Content Genie MCP server (content-genie-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 17 Content Genie tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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