CREATE BATCH JOB - Create async content generation batch job with Gemini. COST: 50% cheaper than standard API. TURNAROUND: ~24 hours target. WORKFLOW: 1) Prepare JSONL file with requests (or use batch_ingest_content first), 2) Upload file with upload_file, 3) Call batch_create with file URI, 4) U...
AI agents invoke batch_create to trigger actions in Gemini MCP Server. 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 triggers an external asynchronous operation (a batch content generation job) on Google's Gemini API. It initiates processing that runs externally and cannot be trivially undone once started. It is not purely writing data — it executes a workflow with side effects (API calls, cost incurrence at 50% rate, resource allocation).
From the tool's definition CREATE BATCH JOB - Create async content generation batch job with Gemini... Returns batch job ID and initial status
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
CREATE BATCH JOB - Create async content generation batch job with Gemini. COST: 50% cheaper than standard API. TURNAROUND: ~24 hours target. WORKFLOW: 1) Prepare JSONL file with requests (or use batch_ingest_content first), 2) Upload file with upload_file, 3) Call batch_create with file URI, 4) Use batch_get_status to monitor progress, 5) Use batch_download_results when complete. SUPPORTS: Inline requests (<20MB) or file-based (JSONL for large batches). Returns batch job ID and initial status. It is categorised as a Execute tool in the Gemini MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gemini MCP Server MCP server in PolicyLayer and add a rule for batch_create: 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 MCP Server. Nothing to install.
batch_create 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 batch_create 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 batch_create. 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.
batch_create is provided by the Gemini MCP Server MCP server (mintmcqueen/gemini-mcp). 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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