Run a single Gemini CLI invocation. Forward-compatible: unknown CLI flags can be
AI agents invoke consult_gemini to trigger actions in Gemini Cli Mcp Slim. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool runs external CLI invocations (Gemini CLI) with user-supplied arguments and supports unknown/forward-compatible flags. This is Execute rather than Read because it triggers external operations whose effects depend on arguments.
From the tool's definition Tool description states 'Run a single Gemini CLI invocation' with 'forward-compatible: unknown CLI flags can be' — indicating execution of arbitrary CLI commands with potentially unbounded flag support.
Attacks that exploit this kind of access
Run a single Gemini CLI invocation. Forward-compatible: unknown CLI flags can be. It is categorised as a Execute tool in the Gemini Cli Mcp Slim MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gemini Cli Mcp Slim MCP server in PolicyLayer and add a rule for consult_gemini: 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 Slim. Nothing to install.
consult_gemini is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the consult_gemini 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 consult_gemini. 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.
consult_gemini is provided by the Gemini Cli Mcp Slim MCP server (tksfjt1024/gemini-cli-mcp-slim). 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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