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token_pretrade_check

Token rug check / pre-trade safety verdict (Solana + EVM) for trading bots: go / caution / avoid + reasons, up to 10 tokens per call, ~0.3-1 s, cached 120 s. Solana (pump.fun and Meteora curves, Token-2022) and Ethereum/BSC/Base: authorities, honeypot simulation and taxes, liquidity, holder concentration (pools excluded), buys vs sells, price moves, age. Price: $0.01 per call (x402, USDC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNosolana | ethereum | bsc | base
tokensYes1-10 token addresses, comma separated

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description does real work: it discloses latency (~0.3-1 s), cache TTL (120 s), batch ceiling, the paid x402/USDC billing model ($0.01 per call), and exactly what is inspected (authorities, honeypot simulation/taxes, liquidity, holder concentration with pools excluded, buy/sell balance, age). It stops short of rate limits and failure behavior for bad addresses.

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?

One dense paragraph with the identity and output verdict front-loaded, followed by chain coverage, checks, and cost. Every clause carries information, though the stacked parentheticals make it slightly harder to scan.

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?

No output schema exists, and the description compensates by naming the return shape (go/caution/avoid + reasons). Payment model, latency, and cache are all stated. Only error/edge-case behavior is unaddressed, which is a minor gap for a read-only batch check.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds useful semantics: the supported chain surface (Solana with pump.fun/Meteora curves and Token-2022, plus Ethereum/BSC/Base) and the up-to-10 batch size. It does not explain address formatting or what happens when a token is unsupported on the given chain.

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?

Specific verb and resource: a pre-trade rug/safety verdict returning go/caution/avoid plus reasons, scoped to Solana and EVM chains. It clearly frames the audience (trading bots) and scope. It does not distinguish itself from the sibling token_safety or token_launches, so a 4 rather than a 5.

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?

"Pre-trade safety verdict for trading bots" implies the usage context well, and the batch limit (10 tokens/call) and 120 s cache give practical calling guidance. However, there is no explicit when-not-to-use and no reference to the overlapping token_safety sibling, leaving the agent to infer routing.

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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