score_ad
Virality/performance prediction for a finished ad (image or video URL): overall score, per-dimension breakdown (scroll-stop, hook, clarity, brand/product, CTA, retention, goal fit), strengths, and the single biggest fix. Use BEFORE spending on distribution, or to rank variants.
This record as markdown: /tools/hermoso/score-ad.md
What score_ad does on Hermoso
AI agents call score_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 score_ad is rated Low
score_ad retrieves and analyzes ad content to generate performance predictions and dimensional scores. It has no side effects, does not create or modify ads, does not execute external operations, and does not delete anything. This is a read-only analytical tool that queries ad performance data and returns insights without changing state.
From the tool's definition Tool performs analysis and prediction on a provided ad URL, returning scores and breakdown data with no modification, creation, or deletion of any data.
Attacks that exploit this kind of access
The rule that runs score_ad 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 score_ad, this is the rule to start with:
score_ad 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 score_ad call is checked against it from then on.
Questions about score_ad
Virality/performance prediction for a finished ad (image or video URL): overall score, per-dimension breakdown (scroll-stop, hook, clarity, brand/product, CTA, retention, goal fit), strengths, and the single biggest fix. Use BEFORE spending on distribution, or to rank variants. 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 score_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.
score_ad 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 score_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.
Set action: deny in the PolicyLayer policy for score_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.
score_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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