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Solana Token Intelligence

Solana token due-diligence (paid, $0.01 USDC on Base or Solana via x402)

token_intel
Read-only

Fused safety + market read on any Solana token: mint/freeze authorities, holder concentration, dev holdings, organic score, liquidity cross-checked across three independent sources (Jupiter, DexScreener, RugCheck incl. LP-lock depth), synthesized 0-100 risk verdict. PAID: $0.01 USDC on Base or Solana (x402 v2, keyless). To pay: fetch requirements by calling this tool once (returned in-band), settle via an x402 client, then retry with the base64 payment payload either as the '_payment' argument or the X-PAYMENT HTTP header. Try token_intel_demo first — it is free and proves the pipeline live.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintYesSPL mint address (base58)
_paymentNobase64 x402 payment payload (alternative to the X-PAYMENT header)

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already carry readOnlyHint=true and openWorldHint=true, and the description is consistent with them — no contradiction. Beyond the annotations, the description adds crucial behavioral context: the tool is PAID ($0.01 USDC), requires a two-step x402 settlement flow, and returns payment requirements in-band on the first call. This cost and payment-mechanics disclosure is genuinely valuable context the annotations do not provide.

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 description is dense but well-organized: purpose and scope first, then payment mechanics, then demo routing. Every sentence earns its place given the unusual paid-payment flow must be explained, though at ~90 words it approaches the limit of conciseness for a single paragraph.

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 partially covers return values (the synthesized 0-100 risk verdict and in-band payment requirements). The paid tool's payment flow is fully specified, the data sources and analytic dimensions are enumerated, and the free alternative is named. The main gaps are the exact response structure beyond the risk score and precise cost-limit behavior, but the essential calling information is present.

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 params (mint, _payment) are already documented in the schema — baseline is 3. The description adds marginal value by explaining the _payment payload's role in the retry flow and the in-band payment-requirement fetch, but this largely reiterates the schema's 'base64 x402 payment payload' note rather than adding new meaning.

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?

The description states a specific verb and resource ('synthesized 0-100 risk verdict' on 'any Solana token') and enumerates the concrete data points delivered (mint/freeze authorities, holder concentration, dev holdings, organic score, liquidity cross-checked across three sources). It clearly distinguishes itself from the sibling token_intel_demo by positioning this as the paid production tool versus the free demo.

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 description explicitly routes users to the free sibling first ('Try token_intel_demo first — it is free and proves the pipeline live'), giving a clear when-to-use alternative. The payment flow is spelled out step by step (call once to fetch requirements, settle via x402 client, retry with _payment or X-PAYMENT header), though it does not enumerate exclusion conditions beyond preferring the demo for initial validation.

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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TDQS

A4.3/5.0
Disambiguation5/5

The two tools are clearly distinguished: token_intel is the paid production tool for any Solana token, while token_intel_demo is explicitly a free fixed-sample demonstration. There is no realistic ambiguity about which tool an agent should call.

Naming Consistency5/5

Both tool names follow the same snake_case pattern, with token_intel_demo cleanly extending the base token_intel name as a demo variant. The naming is predictable and consistent.

Tool Count3/5

Two tools is on the thin side, and one is only a demo wrapper for the other, leaving effectively one production operation. The count fits the narrow single-purpose scope but feels minimal.

Completeness4/5

The core promised capability—a fused safety and market intelligence report for any Solana token—is covered, and the demo helps verify the pipeline before payment. Missing extras like raw source breakdowns or historical tracking are minor gaps rather than critical failures.