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render_ad

RECOMMENDED for finished video ADS: render a plan_ad concept through the SAME quality pipeline as the Hermoso web Studio — timed shot list, exact/clean speech (no garbled words), text composited in post (never model-painted), an optional brand end card (only when the user asks), no music unless a...

SERVERHermoso SOURCEhttps://app.hermoso.ai/mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/hermoso/render-ad.md

What render_ad does on Hermoso

AI agents call render_ad 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 render_ad is rated Low

Even though render_ad 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.

Questions about render_ad

What does the render_ad tool do? +

RECOMMENDED for finished video ADS: render a plan_ad concept through the SAME quality pipeline as the Hermoso web Studio — timed shot list, exact/clean speech (no garbled words), text composited in post (never model-painted), an optional brand end card (only when the user asks), no music unless asked, real product references. UGC and cinematic plans are rendered from a painted STORYBOARD board (cleaned, then bound first, ahead of the creator and the product); a cinematic spot paints a location anchor first (and a hero when someone is on camera). A product-only commercial renders from the real product photo by default; board:true or foundations:\. It is categorised as a Read tool in the Hermoso MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on render_ad? +

Register the Hermoso MCP server in PolicyLayer and add a rule for render_ad: 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.

What risk level is render_ad? +

render_ad is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit render_ad? +

Yes. Add a rate_limit block to the render_ad 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.

How do I block render_ad completely? +

Set action: deny in the PolicyLayer policy for render_ad. 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.

What MCP server provides render_ad? +

render_ad 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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