gemini_query · Claude Code Gemini MCP: Risk & Policy

WHAT IT DOES

What gemini_query does on Claude Code Gemini MCP

AI agents invoke gemini_query to trigger actions in Claude Code Gemini MCP. 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.

WHY IT NEEDS A POLICY

Why gemini_query needs a policy

This tool dispatches arbitrary queries to an external AI model via an OpenAI-compatible API. While it is primarily a retrieval/generation tool, it constitutes an external execution operation rather than a simple local read, since it invokes a third-party model service with open-ended inputs.

From the tool's definition "Send any query to Gemini-3-pro-preview model" — triggers an external operation (API call to a remote Gemini model) whose effects depend on the query arguments supplied.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

gemini_query Rate-limited

gemini_query stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gemini_query": {
      "limits": [
        {
          "counter": "gemini_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Claude Code Gemini MCP, so you can run agents against it safely.

FAQ

Questions about gemini_query

What does the gemini_query tool do? +

Send any query to Gemini-3-pro-preview model. It is categorised as a Execute tool in the Claude Code Gemini MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on gemini_query? +

Register the Claude Code Gemini MCP server in PolicyLayer and add a rule for gemini_query: 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 Claude Code Gemini MCP. Nothing to install.

What risk level is gemini_query? +

gemini_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit gemini_query? +

Yes. Add a rate_limit block to the gemini_query 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.

How do I block gemini_query completely? +

Set action: deny in the PolicyLayer policy for gemini_query. 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.

What MCP server provides gemini_query? +

gemini_query is provided by the Claude Code Gemini MCP server (shunl12324/claude-code-gemini-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.