Gets the status of an ONTAP async job by UUID.
AI agents call ontap_job_get to retrieve information from Google Cloud NetApp Volumes MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves status information about an existing asynchronous job. It performs a read-only query operation with no side effects, no code execution, and no data modification. The worst-case misuse would be unauthorized information disclosure about job status, which is a low-severity concern in the context of cloud storage management.
From the tool's definition Tool name 'ontap_job_get' and description 'Gets the status of an ONTAP async job by UUID' indicate a retrieval operation with no modification or execution of jobs.
Attacks that exploit this kind of access
Gets the status of an ONTAP async job by UUID. It is categorised as a Read tool in the Google Cloud NetApp Volumes MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Google Cloud NetApp Volumes MCP Server MCP server in PolicyLayer and add a rule for ontap_job_get: 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 Google Cloud NetApp Volumes MCP Server. Nothing to install.
ontap_job_get 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 ontap_job_get 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 ontap_job_get. 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.
ontap_job_get is provided by the Google Cloud NetApp Volumes MCP Server MCP server (netapp/gcnv-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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