This record as markdown: /tools/deliberation/gemini.md
What gemini does on Deliberation
AI agents invoke gemini 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.
Why gemini is rated High
The tool triggers execution of an external AI model (Gemini) via API call. While the query itself may be benign, the execution is triggered by the tool and its effects (API calls, token consumption, latency) depend on arguments. This is Execute rather than Read because it starts an active session/operation.
From the tool's definition Tool description states 'Start a new Gemini expert session', which initiates an external operation (querying Gemini API).
Attacks that exploit this kind of access
The rule that runs gemini safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Deliberation, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gemini, this is the rule to start with:
gemini 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Deliberation, apply this rule, and every gemini call is checked against it from then on.
Questions about gemini
Start a new Gemini expert session. It is categorised as a Execute tool in the Deliberation MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Deliberation MCP server in PolicyLayer and add a rule for 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 Deliberation. Nothing to install.
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 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 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.
gemini is provided by the Deliberation MCP server (antonbabenko/deliberation). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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