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ScorpTech x402 Tools

Sol Token Risk

sol_token_risk
Read-onlyIdempotent

Heuristic risk screen for a Solana token mint: mint/freeze authority, Token-2022 extensions (permanent delegate, transfer hook/fee, default-frozen, pausable...), metadata mutability, holder concentration, DEX liquidity and pair age (DexScreener), Jupiter verification. Returns a 0-100 score with itemised flags. Read-only; not a security guarantee. Price: $0.01 USDC per successful call (x402, Solana). Same tool over HTTPS: GET https://scorptech.it.com/api/x402/v1/sol-token-risk

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintYesSPL / Token-2022 mint address (base58)
include_holdersNoFetch top holders (getTokenLargestAccounts) for concentration analysis; default true

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, and the description adds genuinely non-structured facts: a per-call price ($0.01 USDC via x402), a payment protocol, an equivalent HTTPS endpoint, and a candid limitation ('not a security guarantee'). The main omission is any latency, rate-limit, or failure-mode context for a paid open-world call.

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?

Purpose is front-loaded in the first clause and no sentence is wasted; the parenthetical extension list is dense but each item is decision-relevant. It reads as one long run-on paragraph, with pricing and the disclaimer trailing rather than being visually separated.

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 two-parameter read tool with no output schema, the description supplies the return shape (0-100 score plus itemised flags), the data sources, the cost model, and an explicit caveat. Missing only operational details like expected latency or behavior when a mint is unlisted/no DEX pair exists.

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 both `mint` and `include_holders` are already documented in the schema. The description mentions holder concentration as an analysis dimension, which loosely implies what `include_holders` toggles, but adds no format, default, or cost implications beyond what the schema states.

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?

Names a specific verb ('Heuristic risk screen') and a precise resource ('Solana token mint'), then enumerates the exact dimensions checked (mint/freeze authority, Token-2022 extensions, holder concentration, DexScreener liquidity, Jupiter verification). This clearly separates it from siblings like sol_token_meta (metadata only) or wallet_risk_basic (wallet rather than mint).

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?

The opening clause establishes the context of use ('risk screen for a Solana token mint') and the closing line scopes expectations ('Read-only; not a security guarantee'). It never names an alternative sibling or states when NOT to use it, so an agent must infer routing from the enumerated coverage.

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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