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Genexxis paid agent tools (x402)

tokenrisk_honeypot

Can I sell this token? Live buy/sell simulation on Base (honeypot.is) plus trap powers: blacklist, trading switch, pause, tax change, upgradeable proxy; Solana: freeze authority, permanent delegate, transfer fee, hook. Returns is_honeypot, can_sell, verdict (honeypot/high_risk/caution/sellable/unknown), reasons and 24h buys/sells. Query token=, optional chain=base|solana. Price: $0.01 USDC per call, paid with x402 on Base.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "token": "<token>"
    },
    "name": "tokenrisk_honeypot"
  }
}

Input Schema

NameRequiredDescriptionDefault
chainNobase (default for 0x) or solana
tokenYesToken address on Base (0x...) or Solana mint

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the burden well: it discloses the external data source, the cost model ($0.01 USDC per call, paid via x402 on Base), the enumerated verdict vocabulary, and the returned fields including reasons and 24h buys/sells. It stops short of covering failure behavior (unsupported token, what triggers 'unknown', payment failure handling).

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?

Front-loaded with the actionable question, then details, then invocation and pricing. Dense but earned; the semicolon-separated trap lists are compact. Slightly list-heavy in the middle, but no sentence is filler.

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?

For a 2-parameter tool with no annotations and no output schema, the description enumerates the return fields and the cost/payment model, so an agent knows what it gets and what it pays. Minor incompleteness around error/edge-case behavior and the meaning of the 'unknown' verdict.

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 baseline is 3. The description adds only modest value beyond the schema — confirming chain=base|solana, that token may be a Base address or Solana mint, and the implicit 0x default — without adding format or validation nuance.

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?

Opens with the concrete question it answers ('Can I sell this token?') and names the mechanism (live buy/sell simulation, honeypot.is) plus the exact chain-specific risk checks covered (blacklist, trading switch, freeze authority, permanent delegate). An agent can distinguish this from tokenrisk_check, tokenrisk_verdict, and tokenrisk_token_tax purely from this text.

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?

Usage context is clear: supply an address or mint, optionally specify chain=base|solana, and it returns a sellability verdict. It does not, however, explicitly route the agent away from the multiple tokenrisk_* siblings or say when a cheaper alternative (e.g. tokenrisk_verdict_lite) suffices, which is the main gap given the crowded 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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