create_batch_job
AI agents invoke create_batch_job to trigger actions in MCP Mistral OCR Optimized. 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.
The tool name suggests creating and initiating a batch job, which triggers external operations (OCR processing via Mistral AI API). This falls under Execute as it initiates an external operation. However, the description is empty, which lowers confidence.
From the tool's definition Tool name 'create_batch_job' and server context describing 'high-performance batch operations' for OCR processing using Mistral AI
Attacks that exploit this kind of access
create_batch_job. It is categorised as a Execute tool in the MCP Mistral OCR Optimized MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Mistral OCR Optimized MCP server in PolicyLayer and add a rule for create_batch_job: 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 MCP Mistral OCR Optimized. Nothing to install.
create_batch_job 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 create_batch_job 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 create_batch_job. 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.
create_batch_job is provided by the MCP Mistral OCR Optimized MCP server (snussik/mcp_mistral_ocr_opt). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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