AI agents call search_google_videos to retrieve information from SearchAPI MCP Agent without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves video search results from Google. It queries external data without creating, modifying, deleting, or executing arbitrary code. The action is read-only retrieval of publicly available search results. Severity is low because misuse would at worst result in inappropriate search queries without operational impact.
From the tool's definition Tool name: 'search_google_videos'; Tool description: '执行Google视频搜索' (meaning: 'Execute Google video search').
Documented attack patterns abuse exactly the kind of access search_google_videos gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SearchAPI MCP Agent, and nothing reaches the server without passing your rules. This is the rule we recommend for search_google_videos:
{
"version": "1",
"default": "deny",
"tools": {
"search_google_videos": {}
}
}search_google_videos is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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执行Google视频搜索. It is categorised as a Read tool in the SearchAPI MCP Agent MCP Server, which means it retrieves data without modifying state.
Register the SearchAPI MCP Agent MCP server in PolicyLayer and add a rule for search_google_videos: 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 SearchAPI MCP Agent. Nothing to install.
search_google_videos 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 search_google_videos 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 search_google_videos. 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.
search_google_videos is provided by the SearchAPI MCP Agent MCP server (rmmargt/searchapi-mcp-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SearchAPI MCP Agent, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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9 SearchAPI MCP Agent tools catalogued and risk-classified — across an index of 43,000+ MCP servers.