Discover AWAS manifest for a website. AWAS (AI Web Action Standard) enables AI agents to interact with web applications through standardized API definitions. This tool fetches the manifest from /.well-known/ai-actions.json and returns the available actions.
AI agents call awas_discover to retrieve information from Qontinui MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward information retrieval operation that discovers and returns API metadata. It has no side effects, does not execute code or workflows, and does not modify or delete data. The blast radius if misused by an AI agent is minimal: at worst, it reveals what actions are available on a target website, which is informational only.
From the tool's definition Tool description states it 'fetches the manifest' and 'returns the available actions' from a standard endpoint (/.well-known/ai-actions.json).
Attacks that exploit this kind of access
Discover AWAS manifest for a website. AWAS (AI Web Action Standard) enables AI agents to interact with web applications through standardized API definitions. This tool fetches the manifest from /.well-known/ai-actions.json and returns the available actions. It is categorised as a Read tool in the Qontinui MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Qontinui MCP Server MCP server in PolicyLayer and add a rule for awas_discover: 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 Qontinui MCP Server. Nothing to install.
awas_discover 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 awas_discover 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 awas_discover. 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.
awas_discover is provided by the Qontinui MCP Server MCP server (qontinui/qontinui-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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