Generate host-machine instructions for depositing ERC20 tokens into a Cartesi application via ERC20Portal using cast: balance check, optional funding transfer, approve, and depositERC20Tokens. Depositor wallet is configurable via depositor_wallet_index, depositor_private_key, and optional deposit...
AI agents use prepare_erc20_deposit_instructions to commit financial operations through Cartesi Knowledge MCP Server — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool generates instructions for depositing ERC20 tokens (a financial operation involving crypto assets), including token approval and deposit transactions. Even though it 'generates instructions' rather than directly executing transfers, it produces actionable blockchain transaction commands (cast calls) that move financial assets.
From the tool's definition depositing ERC20 tokens into a Cartesi application via ERC20Portal... approve, and depositERC20Tokens... balance check, optional funding transfer
Attacks that exploit this kind of access
Generate host-machine instructions for depositing ERC20 tokens into a Cartesi application via ERC20Portal using cast: balance check, optional funding transfer, approve, and depositERC20Tokens. Depositor wallet is configurable via depositor_wallet_index, depositor_private_key, and optional depositor_address for read calls. It is categorised as a Financial tool in the Cartesi Knowledge MCP Server MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Cartesi Knowledge MCP Server MCP server in PolicyLayer and add a rule for prepare_erc20_deposit_instructions: 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 Cartesi Knowledge MCP Server. Nothing to install.
prepare_erc20_deposit_instructions 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 prepare_erc20_deposit_instructions 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 prepare_erc20_deposit_instructions. 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.
prepare_erc20_deposit_instructions is provided by the Cartesi Knowledge MCP Server MCP server (mugen-builders/mcp-server). 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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