async_tool
AI agents call async_tool to retrieve information from Mon Serveur without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Without a description, classification is uncertain. However, based on the server's stated purpose (system tools for disk usage, file listing, and weather information) and sibling tools that are all Read operations (get_disk_usage, get_weather, list_files), this tool is likely a Read operation. The empty description and generic name lower confidence significantly.
From the tool's definition Tool name 'async_tool' provides no descriptive information. Description is empty.
Attacks that exploit this kind of access
async_tool. It is categorised as a Read tool in the Mon Serveur MCP Server, which means it retrieves data without modifying state.
Register the Mon Serveur MCP server in PolicyLayer and add a rule for async_tool: 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 Mon Serveur. Nothing to install.
async_tool 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 async_tool 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 async_tool. 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.
async_tool is provided by the Mon Serveur MCP server (joachimdaval/estiam_genai_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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