Ask user a question and wait for response. Use for requesting clarification, asking for confirmation, or gathering additional information. This tool creates an interrupt in the graph execution that pauses until the user provides a response.
AI agents call message_ask_user to retrieve information from Snak without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a passive information-gathering tool that requests user input and waits for a response. It has no side effects on data or systems—it merely facilitates user interaction by pausing execution and collecting user-provided information. No data is modified, created, deleted, or executed. This clearly falls under the Read category as the primary action is gathering/receiving information from the user.
From the tool's definition Tool description states it 'Ask user a question and wait for response' and 'creates an interrupt in the graph execution that pauses until the user provides a response'.
Attacks that exploit this kind of access
Ask user a question and wait for response. Use for requesting clarification, asking for confirmation, or gathering additional information. This tool creates an interrupt in the graph execution that pauses until the user provides a response. It is categorised as a Read tool in the Snak MCP Server, which means it retrieves data without modifying state.
Register the Snak MCP server in PolicyLayer and add a rule for message_ask_user: 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 Snak. Nothing to install.
message_ask_user 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 message_ask_user 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 message_ask_user. 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.
message_ask_user is provided by the Snak MCP server (kasarlabs/snak). 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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