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get_openai_ads_landing_page_crawl

The saved evidence from OpenAI’s landing-page crawler for an ad’s submitted version: crawl status and failure code, the requested and final URL (a redirect shows here), capture time, whether robots.txt allowed the crawler and its user agent, and a screenshot of what it saw. Read it when an ad is ...

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/get-openai-ads-landing-page-crawl.md

What get_openai_ads_landing_page_crawl does on Hermoso

AI agents call get_openai_ads_landing_page_crawl 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 get_openai_ads_landing_page_crawl is rated Low

Even though get_openai_ads_landing_page_crawl 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 get_openai_ads_landing_page_crawl

What does the get_openai_ads_landing_page_crawl tool do? +

The saved evidence from OpenAI’s landing-page crawler for an ad’s submitted version: crawl status and failure code, the requested and final URL (a redirect shows here), capture time, whether robots.txt allowed the crawler and its user agent, and a screenshot of what it saw. Read it when an ad is rejected or reports a landing-page crawl serving issue. The screenshot link expires within 24 hours. available:false with pending:true means the capture is still running; available:false otherwise means OpenAI holds no capture (or the ad id is not on this account). The status is the crawl job’s, not the page’s HTTP status. Reading never starts a crawl. Read-only, 0 credits. 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 get_openai_ads_landing_page_crawl? +

Register the Hermoso MCP server in PolicyLayer and add a rule for get_openai_ads_landing_page_crawl: 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 get_openai_ads_landing_page_crawl? +

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

Can I rate-limit get_openai_ads_landing_page_crawl? +

Yes. Add a rate_limit block to the get_openai_ads_landing_page_crawl 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 get_openai_ads_landing_page_crawl completely? +

Set action: deny in the PolicyLayer policy for get_openai_ads_landing_page_crawl. 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 get_openai_ads_landing_page_crawl? +

get_openai_ads_landing_page_crawl 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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