Get the Gemini CLI version information.
AI agents call gemini_version to retrieve information from Gemini CLI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves static version information from the Gemini CLI without modifying, creating, executing, or deleting any data. It is a straightforward read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'gemini_version' and description 'Get the Gemini CLI version information' indicate a query operation that retrieves version metadata with no side effects.
Attacks that exploit this kind of access
Get the Gemini CLI version information. It is categorised as a Read tool in the Gemini CLI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Gemini CLI MCP Server MCP server in PolicyLayer and add a rule for gemini_version: 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 CLI MCP Server. Nothing to install.
gemini_version 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_version 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_version. 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_version is provided by the Gemini CLI MCP Server MCP server (wminson/gemini_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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