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Token safety verdict

get_token_verdict

[Token safety verdict: rug check, honeypot, contract risk] Token safety verdict (honeypot check and token safety screen): honeypot, rug pull, scam token, token security, and contract risk. Returns CLEAR, CAUTION, AVOID, or UNKNOWN. Same screen at GET /api/honeypot/{chain}/{address} ($0.01). Optional fresh=true re-reads upstream. A failed lookup is not charged. Paid: $0.01 USDC on Base, paid in-band via x402 MCP (@x402/mcp; _meta "x402/payment"). Also at GET https://micro-saas-agent.onrender.com/api/verdict/{chain}/{address}.

Input Schema

NameRequiredDescriptionDefault
passNoOptional GW8 day pass token (from buy_day_pass / POST /api/pass/day); skips per-call payment
chainYes
freshNo
addressYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / chain / enum
      Previous value: -[
      -  "base",
      -  "ethereum",
      -  "bsc",
      -  "arbitrum",
      -  "solana"
      -]New value: +[
      +  "ethereum",
      +  "bsc",
      +  "polygon",
      +  "avalanche",
      +  "cronos",
      +  "gnosis",
      +  "optimism",
      +  "base",
      +  "arbitrum",
      +  "opbnb",
      +  "zksync",
      +  "linea",
      +  "scroll",
      +  "mantle",
      +  "blast",
      +  "unichain",
      +  "berachain",
      +  "sonic",
      +  "worldchain",
      +  "abstract",
      +  "soneium",
      +  "story",
      +  "solana"
      +]
    • addedInput schema / properties / fresh
      Added value: +{
      +  "type": "boolean"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / pass
      Added value: +{
      +  "description": "Optional GW8 day pass token (from buy_day_pass / POST /api/pass/day); skips per-call payment",
      +  "maxLength": 80,
      +  "type": "string"
      +}
  3. First observed

TDQS

B3.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does substantial work: it discloses the four verdict outcomes, that fresh=true bypasses cache, that failed lookups are not charged, and that the call costs $0.01 USDC on Base via x402 with in-band _meta payment. It stops short of explaining what CLEAR versus CAUTION versus AVOID actually mean, or any rate limits.

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

Conciseness2/5

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

The opening is redundant keyword padding: a bracketed title followed by a near-identical restatement, then a comma-separated keyword list ('honeypot, rug pull, scam token, token security, and contract risk') that conveys no new information. The genuinely useful facts (return categories, pricing, failure billing, fresh flag) are buried behind it.

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

Completeness3/5

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

For a paid, 4-parameter tool with no output schema and no annotations, the definition covers cost, payment mechanism, caching and outcome labels well. The gaps are the semantics of the verdict tiers and half the parameters, which leaves the agent unable to interpret a returned value or construct an address correctly.

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 only 25% (only 'pass' is documented), so the description must compensate and partially does by explaining that fresh=true re-reads upstream. It says nothing about 'address' format, nothing about the 23-value 'chain' enum's meaning, and does not restate that 'pass' comes from buy_day_pass to skip payment.

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 description names the resource and the checks performed (honeypot, rug pull, contract risk) and even states the return categories, so an agent knows exactly what it obtains. It does not, however, distinguish itself from the sibling get_token_verdict_deep, which is the one comparison that matters most here.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance, and the obvious alternative (get_token_verdict_deep) is never mentioned. The only conditional instruction is 'optional fresh=true re-reads upstream', which concerns a parameter, not tool selection.

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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