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token audit

token_audit
Read-only

Token safety & scam check for an ERC-20 (Ethereum, Base, Arbitrum, Optimism, Polygon, BNB Chain) or SPL mint (Solana): honeypot simulation, buy/sell tax, mint / blacklist / pause / owner privileges, LP lock, holder concentration (Powered by GoPlus Security) plus our own on-chain checks (proxy slots, owner, verified source, mint/freeze authority, Token-2022 extensions). Returns severity-ranked flags and a risk level. Paid ($0.001, x402).

Input Schema

NameRequiredDescriptionDefault
chainYesBlockchain network (see allowed values)
addressYesToken contract (0x...) or Solana mint (base58)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / chain / description
      Added value: +"Blockchain network (see allowed values)"
  2. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations only say readOnly and openWorld; the description adds material traits beyond that: it is a paid call ($0.001 via x402), it aggregates GoPlus data plus the provider's own on-chain checks, and it returns severity-ranked flags with a risk level. It stops short of saying whether the payment must be settled first or what failure/latency looks like.

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 what-and-where is front-loaded, then the check inventory, then the cost and return shape. It is dense and mostly earns its length, though the chain list is enumerated both here and in the enum, which is mild redundancy.

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?

With no output schema, the description takes on the burden of describing returns and does so at a high level ('severity-ranked flags and a risk level'). Data provenance and pricing are disclosed. It is slightly thin on how a caller should act on the result or on latency/error behavior, but nothing essential for correct invocation is missing.

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% and both parameters are documented there, so the schema carries the load. The description's chain list and '0x... / base58 mint' phrasing merely restate the enum and schema text without adding new semantics, so 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?

States a specific verb and resource ('Token safety & scam check') and enumerates exactly what is audited (honeypot simulation, taxes, mint/blacklist/pause privileges, LP lock, holder concentration, proxy slots, Token-2022 extensions). It never names or contrasts the nearby siblings token_report and token_verdict, so an agent must infer the division of labor itself.

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?

The content implies a pre-trade / due-diligence use case, but there is no explicit when-to-use, when-not-to-use, or alternative routing. An agent can guess the intent from the listed checks, which is exactly the 'implied usage' level.

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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