Check a user
AI agents call get_user_balance to retrieve information from Relay 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 or queries balance information with no side effects. It falls squarely under Read category as it only accesses data without modifying, executing code, destroying data, or moving funds. The incomplete description lowers confidence slightly but the tool name and server context are clear.
From the tool's definition Tool name is 'get_user_balance' and context indicates it 'Check[s] a user' (description incomplete but name clearly indicates a read operation).
Attacks that exploit this kind of access
Check a user. It is categorised as a Read tool in the Relay MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Relay MCP Server MCP server in PolicyLayer and add a rule for get_user_balance: 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 Relay MCP Server. Nothing to install.
get_user_balance 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 get_user_balance 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 get_user_balance. 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.
get_user_balance is provided by the Relay MCP Server MCP server (relayprotocol/relay-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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