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romudille-bit

AgentPay x402 — Economic-intelligence layer for AI Agents

token_security

Evaluate token contracts for honeypot, rug pull, and security risks before trading. Identifies risk level, buy/sell taxes, and ownership details.

Instructions

Scan any token contract for honeypot, rug pull, and security risks

Use when: You need to check if a token contract is safe before trading or investing. Returns: risk_level, is_honeypot, buy_tax, sell_tax, holder_count, owner_address, is_mintable, can_take_back_ownership Example response: {"contract_address": "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2", "chain": "ethereum", "risk_level": "low", "is_honeypot": false, "buy_tax": 0.0, "sell_tax": 0.0, "holder_count": 842341, "is_mintable": false, "can_take_back_ownership": false, "source": "goplus"}

Price: $0.000 USDC per call

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoBlockchain to query (default: ethereum)ethereum
contract_addressYesToken contract address (0x...)
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the return fields and provides an example response and pricing, but lacks details on rate limits, authentication, or other behavioral traits beyond the core functionality.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively concise and front-loaded with the main purpose. It includes an example and pricing information, which is useful but slightly extraneous. Still, overall structure is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description compensates well by listing return fields and providing a detailed example. It covers essential aspects for a security scanning tool, though it could improve by explaining risk_level interpretation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents both parameters. The description adds the example response showing parameter usage, but does not provide additional semantic context beyond what the schema offers.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description starts with a clear verb ('Scan') and resource ('any token contract'), specifying the action and scope. It distinguishes from siblings like token_market_data by focusing on security risks.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states 'Use when: You need to check if a token contract is safe before trading or investing.' This provides clear context for when to invoke the tool, though no alternatives or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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