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crypto-web-data-api

Scam / honeypot check for an EVM token (Base, Ethereum, BSC, Arbitrum...)

evm_token_risk
Read-only

Scam / honeypot check for an EVM token (Base, Ethereum, BSC, Arbitrum...). Honeypot and sell simulation, buy/sell tax, mintable, proxy, hidden owner, blacklist, pausable transfers, open source, holder concentration, LP lock and DEX liquidity, merged from GoPlus, honeypot.is and DexScreener into flags and a risk level. Cached 60 s. Price $0.020 per call (x402: USDC on Base or Solana).

Input Schema

NameRequiredDescriptionDefault
txNoAlternative to the X-Payment-Tx header
chainNoOne of arbitrum, avalanche, base, bsc, eth, ethereum, optimism, polygonbase
addressYesToken contract

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

With readOnlyHint and openWorldHint already given, the description still adds substantial context an agent cannot get from annotations: the underlying data sources (GoPlus, honeypot.is, DexScreener), a 60-second cache, and an explicit per-call price with the x402 payment rail (USDC on Base or Solana). The payment detail is especially actionable because it explains the otherwise cryptic 'tx' parameter, which is the alternative to an X-Payment-Tx header.

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?

Two sentences, front-loaded with the core purpose and then a dense but scannable list of checks. The opening clause duplicates the tool title, and the long signal list is slightly run-on, but every item is informative and nothing is padding.

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?

There is no output schema, and the description compensates by stating the return shape: merged flags plus a risk level. Cost, caching, data sources, and chain coverage are all covered. The remaining gap is failure/edge behavior, e.g. what happens for an unsupported chain or an unverified contract, which an agent calling a risk tool would want to know.

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 description coverage is 100%, so the chain enum, the address pattern, and the tx field are already fully documented in structured data. The description only indirectly explains tx via the x402 pricing sentence and adds no format or constraint detail beyond the schema, so the baseline 3 applies.

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

Purpose4/5

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

The first sentence states a specific verb+resource: a scam/honeypot check on an EVM token, and the second enumerates exactly which signals are computed (sell simulation, taxes, mintable, proxy, blacklist, holder concentration, LP lock). It does not, however, differentiate itself from the sibling tools token_risk and token_report, so an agent must guess which of the three to pick.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: 'Scam / honeypot check' tells an agent this is a pre-trade safety gate, and the chain list scopes it to EVM networks. There is no explicit when-to-use, when-not-to-use, or reference to token_risk / token_report as alternatives, which is the main ambiguity given the sibling set.

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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