[$0.02 USDC per call via x402] Token security / rug-pull risk check for any ERC-20 (honeypot, mintable, owner privileges, tax, LP holders). Essential pre-trade safety check for trading agents.
| Name | Required | Description | Default |
|---|---|---|---|
| chain | No | base | ethereum | bsc | polygon | arbitrum (default base) | |
| address | Yes | ERC-20 token contract address (0x...) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses the pricing ($0.02 USDC per call) and outlines what checks are performed, which is helpful transparency. However, it doesn't disclose return format, whether it's a read-only operation, or whether partial results are returned when a check fails or times out.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with the pricing disclosure and core purpose. The list of checks (honeypot, mintable, owner privileges, tax, LP holders) adds value without bloat. Minor inefficiency: the pricing note at the start could be positioned as secondary, but overall it's tight.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a security-check tool with no output schema and 100% schema coverage, the description reasonably covers purpose and some behavioral aspects (pricing, checks performed). However, it leaves unanswered what the output looks like, how risks are scored/returned, and whether the 2-cent cost covers failed checks. A trading agent needs to know what response format to expect before invoking.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, meaning both chain and address are documented in the schema. The description adds the token security context but doesn't add parameter-level meaning beyond what the schema already provides — it lists which checks the token undergoes but doesn't detail how each parameter affects results. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks token security / rug-pull risk for any ERC-20, listing specific checks (honeypot, mintable, owner privileges, tax, LP holders). It uses a specific verb (risk check) plus resource (ERC-20 token), which distinguishes it from sibling tools like price, gas, yields, and token_score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states it is an 'Essential pre-trade safety check for trading agents', giving clear usage context. It doesn't explicitly name alternative tools or when-not-to-use scenarios, but the pre-trade safety positioning distinguishes it from the price/score/market siblings implicitly.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are distinct by domain (market data, safety, DEX trading, yield, gas), but there is meaningful overlap: token_risk, token_score, and screener all deal with token safety/rug-pull concerns, and screener partially overlaps with trending and token_pairs for discovery. An agent picking between token_risk and token_score could be confused despite the price difference, and screener's safety screening overlaps with both.
All names follow a consistent lowercase noun pattern (fear_greed, gas, ohlc, price, yields, token_pairs, market_summary, etc.), with concise single-word or snake_case single concepts. No verb prefixes, no mixing of conventions, no camelCase. Highly predictable across the whole set.
11 tools for a crypto data API is well-scoped, covering market prices, candles, trending, DEX pairs, token safety, yields, and sentiment. Each tool earns its place with a distinct job, and the count aligns with the breadth of a comprehensive market-data service without becoming bloated.
The surface covers core market data (prices, OHLC, trending, fear/greed), DEX trading (token_pairs, screener), safety (token_risk, token_score), yields, and gas. Minor gaps include no historical yield data, no portfolio/balance tool, and no direct order/trade execution, but for a data-and-safety API the coverage is thorough with no obvious dead ends.
