AI agents call gemini_probe to retrieve information from Gemini Skill without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries the state of UI elements on the Gemini page. It is purely observational and diagnostic in nature, with no side effects, data modification, or triggering of operations. This aligns with the Read category definition of retrieving or querying data without side effects.
From the tool's definition Tool name 'gemini_probe' and description '探测 Gemini 页面各元素状态（输入框、按钮、当前模型等），用于调试和排查问题' indicate inspection of page element states (input fields, buttons, current model) for debugging purposes.
Documented attack patterns abuse exactly the kind of access gemini_probe gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gemini Skill, and nothing reaches the server without passing your rules. This is the rule we recommend for gemini_probe:
{
"version": "1",
"default": "deny",
"tools": {
"gemini_probe": {}
}
}gemini_probe is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
探测 Gemini 页面各元素状态（输入框、按钮、当前模型等），用于调试和排查问题. It is categorised as a Read tool in the Gemini Skill MCP Server, which means it retrieves data without modifying state.
Register the Gemini Skill MCP server in PolicyLayer and add a rule for gemini_probe: 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 Gemini Skill. Nothing to install.
gemini_probe 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 gemini_probe 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 gemini_probe. 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.
gemini_probe is provided by the Gemini Skill MCP server (wjz-p/gemini-skill). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 21 Gemini Skill tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
21 Gemini Skill tools catalogued and risk-classified — across an index of 42,500+ MCP servers.