# gemini-reply

Continue an existing Gemini session

Agent View of the PolicyLayer registry record for `gemini-reply`. HTML page: https://policylayer.com/tools/deliberation/gemini-reply

## Facts

- Tool: `gemini-reply`
- Server: Deliberation (`antonbabenko/deliberation`) — https://policylayer.com/tools/deliberation.md
- Homepage: https://github.com/antonbabenko/deliberation
- Risk category: Execute (High risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "gemini-reply",
    "arguments": {}
  }
}
```

## Why gemini-reply is rated High

This tool invokes an external LLM service to generate responses within an ongoing session. While it retrieves generated text rather than modifying persistent data, it executes arbitrary code/prompts against a third-party service, making it an Execute-category risk.

From the tool's own definition: "The tool 'gemini-reply' performs a real-time action ('Continue an existing Gemini session') that executes a request to an external service (Google's Gemini model) and returns generated content whose effects are determined by the session context and user input."

## Use case

AI agents invoke gemini-reply to trigger actions in Deliberation. 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.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Deliberation:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "gemini-reply": {
      "limits": [
        {
          "counter": "gemini-reply_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Deliberation (10)

- `consensus` — Execute — https://policylayer.com/tools/deliberation/consensus.md
- `consensus-step` — Execute — https://policylayer.com/tools/deliberation/consensus-step.md
- `gemini` — Execute — https://policylayer.com/tools/deliberation/gemini.md
- `grok` — Execute — https://policylayer.com/tools/deliberation/grok.md
- `grok-reply` — Execute — https://policylayer.com/tools/deliberation/grok-reply.md
- `openrouter` — Execute — https://policylayer.com/tools/deliberation/openrouter.md
- `openrouter-reply` — Execute — https://policylayer.com/tools/deliberation/openrouter-reply.md
- `analyze` — Read — https://policylayer.com/tools/deliberation/analyze.md
- `openrouter-list` — Read — https://policylayer.com/tools/deliberation/openrouter-list.md
- `session-get` — Read — https://policylayer.com/tools/deliberation/session-get.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=deliberation · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/deliberation