AI agents use crypto_loan_adjust_ltv to commit financial operations through Bybit — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool modifies the loan-to-value ratio of a crypto loan by adjusting collateral amounts, which constitutes a financial operation with real monetary consequences. Misuse could result in under-collateralization, liquidation risk, or financial loss. Falls squarely in the Financial category as it directly manages financial obligations and asset positions.
From the tool's definition Adjust collateral amount (LTV) for a crypto loan
Attacks that exploit this kind of access
Adjust collateral amount (LTV) for a crypto loan. It is categorised as a Financial tool in the Bybit MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Bybit MCP server in PolicyLayer and add a rule for crypto_loan_adjust_ltv: 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 Bybit. Nothing to install.
crypto_loan_adjust_ltv is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the crypto_loan_adjust_ltv 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 crypto_loan_adjust_ltv. 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.
crypto_loan_adjust_ltv is provided by the Bybit MCP server (johnnywic/bybit-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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