list_async_jobs
List asynchronous jobs
This record as markdown: /tools/mozg31337-cloudstack-mcp-server/list-async-jobs.md
What list_async_jobs does on CloudStack MCP Server
AI agents call list_async_jobs to retrieve information from CloudStack MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_async_jobs is rated Low
This tool retrieves or queries the status and details of asynchronous jobs without modifying, creating, deleting, or executing any operations. It is a read-only informational tool with no side effects.
From the tool's definition Tool name 'list_async_jobs' and description 'List asynchronous jobs' indicate a retrieval/query operation with the verb 'list'
Attacks that exploit this kind of access
The rule that runs list_async_jobs safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CloudStack MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_async_jobs, this is the rule to start with:
list_async_jobs is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect CloudStack MCP Server, apply this rule, and every list_async_jobs call is checked against it from then on.
Questions about list_async_jobs
List asynchronous jobs. It is categorised as a Read tool in the CloudStack MCP Server MCP Server, which means it retrieves data without modifying state.
Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for list_async_jobs: 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 CloudStack MCP Server. Nothing to install.
list_async_jobs 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 list_async_jobs 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 list_async_jobs. 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.
list_async_jobs is provided by the CloudStack MCP Server MCP server (mozg31337/cloudstack-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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