AI agents call agenti_balance to retrieve information from Agenti without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
agenti_balance is a read operation that queries financial account data without modifying it. While the severity is raised to 'medium' (rather than 'low') because exposure of financial account balances could enable reconnaissance for fraud or theft, it remains in the Read category since it has no write, execute, or destructive effects.
From the tool's definition Tool retrieves wallet balances ("Get the current USDC and SOL balances") with no modification capability. The name and description indicate a read-only query operation.
Documented attack patterns abuse exactly the kind of access agenti_balance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agenti, and nothing reaches the server without passing your rules. This is the rule we recommend for agenti_balance:
{
"version": "1",
"default": "deny",
"tools": {
"agenti_balance": {}
}
}agenti_balance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the current USDC and SOL balances of the agent wallet. It is categorised as a Read tool in the Agenti MCP Server, which means it retrieves data without modifying state.
Register the Agenti MCP server in PolicyLayer and add a rule for agenti_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 Agenti. Nothing to install.
agenti_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 agenti_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 agenti_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.
agenti_balance is provided by the Agenti MCP server (nirholas/agenti). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 73 Agenti tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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73 Agenti tools catalogued and risk-classified — across an index of 42,500+ MCP servers.