Get details of a specific batch job.
AI agents call get_batch_job to retrieve information from Dataproc MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about an existing batch job without creating, modifying, deleting, or executing anything. It is a pure read operation that queries job metadata. The low severity reflects minimal risk even if misused, as it only exposes existing job details without operational consequences.
From the tool's definition Tool name is 'get_batch_job' and description states 'Get details of a specific batch job' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get details of a specific batch job. It is categorised as a Read tool in the Dataproc MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Dataproc MCP Server MCP server in PolicyLayer and add a rule for get_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 Dataproc MCP Server. Nothing to install.
get_batch_job is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_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 get_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.
get_batch_job is provided by the Dataproc MCP Server MCP server (warrenzhu25/dataproc-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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