Analyze and describe images using Google Gemini AI
AI agents call image_recognition to retrieve information from MCP Video Recognition Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs image analysis and description, which is a read-only operation that queries data (the image content) and returns analysis results without side effects. It does not create, modify, delete, or execute code. The confidence is high because the description clearly indicates a passive analysis function.
From the tool's definition Tool name 'image_recognition' and description 'Analyze and describe images using Google Gemini AI' indicate data retrieval and analysis with no modification, deletion, or execution of arbitrary code.
Documented attack patterns abuse exactly the kind of access image_recognition gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Video Recognition Server, and nothing reaches the server without passing your rules. This is the rule we recommend for image_recognition:
{
"version": "1",
"default": "deny",
"tools": {
"image_recognition": {}
}
}image_recognition is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze and describe images using Google Gemini AI. It is categorised as a Read tool in the MCP Video Recognition Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Video Recognition Server MCP server in PolicyLayer and add a rule for image_recognition: 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 MCP Video Recognition Server. Nothing to install.
image_recognition 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 image_recognition 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 image_recognition. 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.
image_recognition is provided by the MCP Video Recognition Server MCP server (mario-andreschak/mcp_video_recognition). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Video Recognition Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
3 MCP Video Recognition Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.