consult_gemini_oneshot

THE RISK

High Risk

Why consult_gemini_oneshot needs a policy

The description is empty, lowering confidence. Based on the tool name and server context, this likely sends a one-shot query to Google Gemini. Given the server's focus on autonomous codebase exploration and the presence of a code execution sibling tool, this could trigger external operations.

From the tool's definition Tool name 'consult_gemini_oneshot' and server description mentions 'autonomous codebase exploration, enabling deep code analysis, architectural reviews, and bug hunting'; sibling tool 'gemini_code_exec' suggests code execution capabilities on this server.

Documented attack patterns abuse exactly the kind of access consult_gemini_oneshot gives an agent:

POLICY

How to control consult_gemini_oneshot

PolicyLayer is an MCP gateway — it sits between your AI agents and Gpal, and nothing reaches the server without passing your rules. This is the rule we recommend for consult_gemini_oneshot:

policy.json

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

consult_gemini_oneshot 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.

Create a free account and register Gpal — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Gpal tools

Destructive delete_batch Delete a batch job. Only works on ended (succeeded/failed/cancelled) jobs. Destructive delete_context_cache Delete a Gemini context cache. Destructive delete_file_store Delete a FileSearch store and all its documents. Execute cancel_batch Cancel a running batch job. Already-completed requests are unaffected. Execute consult_gemini consult_gemini Execute gemini_code_exec gemini_code_exec Execute generate_image generate_image Write create_batch create_batch

All 19 Gpal tools →

Execute tools on other servers

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Go deeper

High-risk tools in Gpal → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about consult_gemini_oneshot

What does the consult_gemini_oneshot tool do? +

consult_gemini_oneshot. It is categorised as a Execute tool in the Gpal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on consult_gemini_oneshot? +

Register the Gpal MCP server in PolicyLayer and add a rule for consult_gemini_oneshot: 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 Gpal. Nothing to install.

What risk level is consult_gemini_oneshot? +

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

Can I rate-limit consult_gemini_oneshot? +

Yes. Add a rate_limit block to the consult_gemini_oneshot 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 consult_gemini_oneshot completely? +

Set action: deny in the PolicyLayer policy for consult_gemini_oneshot. 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 consult_gemini_oneshot? +

consult_gemini_oneshot is provided by the Gpal MCP server (tobert/gpal). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gpal tool call.

Start from Gpal, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →