Get a user by ID
AI agents call getUser to retrieve information from Follow Up Boss MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user information by identifier. It performs a query operation that does not create, modify, delete, or execute any actions. The action is purely informational and non-destructive, fitting the Read category with low severity as it only exposes data retrieval without operational risk.
From the tool's definition Tool name 'getUser' and description 'Get a user by ID' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get a user by ID. It is categorised as a Read tool in the Follow Up Boss MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Follow Up Boss MCP Server MCP server in PolicyLayer and add a rule for getUser: 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 Follow Up Boss MCP Server. Nothing to install.
getUser 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 getUser 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 getUser. 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.
getUser is provided by the Follow Up Boss MCP Server MCP server (nerdsnipe-inc/follow-up-boss-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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