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Token report — price + safety in one call ($0.05)

token_report
Read-onlyIdempotent

PAID ($0.05 USDC via x402). The full picture on an ERC-20 in ONE call: live price, liquidity, 24h volume, market cap/FDV and the most-liquid DEX pair (DexScreener) TOGETHER with the complete safety verdict — honeypot / buy&sell tax / owner privileges / holder concentration / LP-locked / CEX listing (GoPlus). One payment instead of chaining token_price + token_safety. Without payment this returns the 402 challenge; the fiatdock-mcp npm package pays automatically. A bad address returns 400; no liquidity/security data returns 404; an upstream outage or partial scan returns 502 — none is charged. Not financial advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoChain slug: base (default), ethereum, polygon, arbitrum, optimism, bsc, avalanche
tokenYesERC-20 contract address (0x…) to report on
paymentNoBase64 of a single x402 v2 PaymentPayload (EIP-3009 transferWithAuthorization on Base USDC). OMIT it on the first call: the 402 you get back carries `howToPay.payloadTemplate` — the exact envelope to fill in — plus the price and the EIP-712 domain. Send it on the second call to complete the purchase; it is forwarded as the PAYMENT-SIGNATURE header, never as body data. Nothing is charged for the 402 itself, and a call that fails after payment settles nothing.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
asOfYesISO 8601 read time
nameYesToken name
noteYesHuman-readable caveat
priceYesPrice/liquidity from the most-liquid DEX pair (DexScreener)
safetyYesOn-chain safety verdict (GoPlus) — same shape token_safety returns
sourceYesData sources
symbolYesToken symbol
addressYesThe ERC-20 contract address
networkYesChain slug the report is for (e.g. base)
verdictYesHeadline safety verdict: safe | caution | danger

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the annotations (readOnly, idempotent, openWorld), the description discloses critical behavioral traits: it is a paid call requiring x402 payment, the first call returns a 402 challenge, payment is forwarded as a header, and nothing is charged for the 402 or failed calls. These details are essential for correct usage and are not present in the annotations.

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: it opens with the paid nature, lists the data points, contrasts with alternatives, explains the payment flow, and lists error conditions. Each sentence contributes value; it is slightly long but not verbose, warranting a strong score.

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?

The description sufficiently explains what data is returned (price, liquidity, volume, market cap, safety) and the conditions under which errors occur. Since an output schema exists (though not shown), the absence of a detailed return format is acceptable. The description provides enough context for an agent to decide whether to call this tool.

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?

The input schema already provides comprehensive descriptions for all parameters (chain, token, payment), including the payment payload format. The tool description does not add additional parameter-specific semantics beyond what the schema states, so it receives the baseline score for full schema coverage.

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 clearly states the tool's purpose: providing a comprehensive ERC-20 report combining price, liquidity, volume, market cap, DEX pair, and safety verdict. It explicitly contrasts with token_price and token_safety, making its unique value proposition obvious.

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

Usage Guidelines5/5

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

It explicitly tells when to use this tool instead of chaining token_price + token_safety. It also details the payment flow: first call without payment returns a 402 with instructions, second call with payment completes the request. Error codes (400, 404, 502) are explained with the condition that no charge occurs for failed calls.

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

A4/5.0
Disambiguation4/5

Most tools are clearly separated by resource and action, but a few intentional bundles create mild selection overlap: token_report duplicates the data from token_price + token_safety, and address_intel overlaps eth_balance/usdc_balance plus safety. The descriptions explain the trade-offs well, so this is a minor rather than severe issue.

Naming Consistency4/5

Data-query tools follow a solid subject_metric pattern (token_price, usdc_balance, tx_status), while state-changing tools use verb_object (create_onramp_session, call_service). The pattern is readable and mostly consistent, but not a single uniform verb_noun convention throughout, so it falls just short of perfect.

Tool Count4/5

18 tools is above the typical 3-15 well-scoped range, but the server genuinely spans Base chain primitives, token intelligence, fiat ramps, and a marketplace. Each tool has a purpose, and the count is reasonable rather than bloated.

Completeness4/5

Core workflows are covered end-to-end: quote -> create on/off-ramp session -> order status; token price/safety/metadata/report; marketplace search/get/call; chain/tx primitives. Minor gaps exist, such as no order cancellation, no list-all-services endpoint, and no supported-country/method endpoint despite those details living in descriptions.