AI agents call get_balances to retrieve information from Baselings without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves wallet balance data (ETH, USDC, POOP, WETH) with no side effects, modifications, or external operations triggered. It is a simple data query operation fitting the Read category, with low severity since querying balances poses minimal risk to assets or operations.
From the tool's definition Tool name 'get_balances' and description 'Check your wallet balances' indicate a read-only query operation that retrieves balance information without modifying state.
Attacks that exploit this kind of access
Check your wallet balances (ETH, USDC, POOP, WETH). It is categorised as a Read tool in the Baselings MCP Server, which means it retrieves data without modifying state.
Register the Baselings MCP server in PolicyLayer and add a rule for get_balances: 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 Baselings. Nothing to install.
get_balances 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_balances 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_balances. 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_balances is provided by the Baselings MCP server (jimbo530/baselings-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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