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Token rug-pull / honeypot check

token_safety

Heuristic token safety check: follows the proxy and scans the bytecode that actually runs, plus ownership and transfer restrictions. Returns a verdict with per-rule evidence. Paid: call without x_payment to receive this call's exact terms (amount, asset, network), sign them, then call again with x_payment. The free pricing tool lists every price at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoWhich chain the token contract is on.base
addressYesToken contract address.
x_paymentNoOptional signed x402 payment payload (base64, what the X-PAYMENT header carries). Omit to receive the exact payment terms; sign them (e.g. @x402/fetch) and call again with this argument to settle and get the data.

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full transparency burden. It discloses that the check is heuristic, follows proxies to scan actual bytecode, returns per-rule evidence, and is paid with a specific settlement flow. This provides strong behavioral insight, though it stops short of explicitly stating whether the operation is read-only or has side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded: it opens with the tool's purpose and method, then specifies the output, payment flow, and a pointer to a free alternative. Every sentence carries value with no filler, making it efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (3 parameters, no output schema), the description is remarkably complete. It explains the heuristic methodology, the return format (verdict with evidence), the two-step payment process, and the availability of a free pricing alternative. This is sufficient for an agent to understand and invoke the tool correctly.

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 describes all three parameters with high coverage (100%). The description reinforces the x_payment flow but does not add meaningful detail beyond the schema's own explanation of the payment mechanism. It neither clarifies 'chain' nor 'address' further, so the description does not significantly exceed the schema baseline.

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 function: a heuristic token safety check that follows proxies, scans bytecode, checks ownership/transfer restrictions, and returns a verdict with evidence. This distinctly differentiates it from sibling tools like gas_price or swap_quote, making its purpose unambiguous.

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 gives clear usage context by explaining the two-step payment flow (call without x_payment for terms, then with x_payment) and points to the free 'pricing' tool as an alternative for price lists. However, it does not explicitly mention when not to use this tool versus other safety-related siblings like nft_scam_check.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct concern: screening, chain metadata, ENS resolution, gas estimation, asset pricing, swap quoting, token safety, NFT scam detection, pricing catalog, and data discovery/request. Overlapping terms like 'price' or 'check' are clearly separated by modifiers and descriptions, leaving no ambiguity about which tool to select.

Naming Consistency4/5

All tool names use lowercase snake_case and a consistent style, but the pattern mixes verb_noun (find_data, request_data) with noun_noun or noun_verb (chain_info, spot_price, gas_compare). This is a minor deviation; the naming remains predictable and readable.

Tool Count5/5

Twelve tools is well-scoped for a multi-purpose on-chain data and security server, fitting comfortably in the 3-15 ideal range. Each tool earns its place, covering distinct operations without redundancies.

Completeness4/5

The server covers a broad set of on-chain utilities: address screening, chain info, ENS, gas (both single-chain and comparative), spot prices, swap quotes, token/NFT safety, and pricing discovery. Notable gaps like on-chain balances or transaction sending are missing, but the 'find_data' and 'request_data' tools mitigate these by letting users discover and request additional endpoints.

Resources