Decode common EVM calldata before signing, including ERC20 approve/transfer/transferFrom, ERC721/ERC1155 setApprovalForAll, safeTransferFrom, increase/decreaseAllowance, permit, and multicall hints. Returns risk flags, decoded addresses, amount words, and a human confirmation checklist without us...
AI agents call gpt55_evm_transaction_risk_decoder to retrieve information from GPT 5 5 x402 Low Cost Agent Tools without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
to | string | — | |
data | string | Yes | |
chain | string | — | |
value | object | — | |
target | string | — | |
calldata | string | — | |
known_addresses | object | — |
Parameters from the server's own tool schema.
This is a read-only analysis tool that decodes blockchain transaction data to help users understand what they're about to sign. It retrieves and presents information without executing transactions, modifying state, or performing destructive operations. The payment mechanism (metered USDC) is a pricing model for the service itself, not a financial operation performed by the tool.
From the tool's definition The tool 'Decode common EVM calldata before signing' and 'Returns risk flags, decoded addresses, amount words, and a human confirmation checklist without using a private key, sending a transaction, or calling an external API.' The description explicitly…
Attacks that exploit this kind of access
Decode common EVM calldata before signing, including ERC20 approve/transfer/transferFrom, ERC721/ERC1155 setApprovalForAll, safeTransferFrom, increase/decreaseAllowance, permit, and multicall hints. Returns risk flags, decoded addresses, amount words, and a human confirmation checklist without using a private key, sending a transaction, or calling an external API. Pay up to $0.01 per request with x402 USDC on Base or choose the fixed-price Solana USDC option when advertised. Exact fixed-price payment and Base upto token-metered payment are both accepted when clients support them; upto settlements use actual response usage, a 0.0001 minimum, and the selected tier price as the cap. Canonical live prices: https://gpt55.558686.xyz/x402/live-prices.json. It is categorised as a Read tool in the GPT 5 5 x402 Low Cost Agent Tools MCP Server, which means it retrieves data without modifying state.
gpt55_evm_transaction_risk_decoder accepts 7 parameters: to, data, chain, value, target, calldata, known_addresses. Required: data. The full parameter table on this page comes from the server's own tool schema.
Register the GPT 5 5 x402 Low Cost Agent Tools MCP server in PolicyLayer and add a rule for gpt55_evm_transaction_risk_decoder: 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 GPT 5 5 x402 Low Cost Agent Tools. Nothing to install.
gpt55_evm_transaction_risk_decoder 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 gpt55_evm_transaction_risk_decoder 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 gpt55_evm_transaction_risk_decoder. 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.
gpt55_evm_transaction_risk_decoder is provided by the GPT 5 5 x402 Low Cost Agent Tools MCP server (https://gpt55.558686.xyz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
gpt55_evm_transaction_risk_decoder is one line of GPT 5 5 x402 Low Cost Agent Tools's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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