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rug_check

rug_check

Rug-pull check for an ERC-20 on Base: rug_pull true/false, confidence and 5 signals (liquidity removal, wash trading, LP lock, owner wallet, honeypot/tax). Use before buying a new Base token. $0.02 via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressNoERC-20 contract address on Base (0x + 40 hex). If omitted, the AERO example is returned with example=true.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose two useful non-schema facts: the cost/payment mechanism ($0.02 via x402) and the enumerated output signals. It omits any mention of latency, rate limits, data freshness, or what a low-confidence verdict should mean to the caller.

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?

Two sentences, zero filler: the first front-loads what it returns, the second gives the calling context and the price. Nothing redundant against the schema or title.

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 single-parameter tool with no output schema, the description is nearly self-sufficient: it names the chain, the asset class, the verdict fields, and the payment model. It stops just short of explaining how to interpret 'confidence' or the five signals, which an agent would need to act on the result.

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% and the single optional 'address' parameter is fully documented in the schema, including the example-fallback behavior when omitted. The description adds no parameter-level detail beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('rug-pull check for an ERC-20 on Base') and even enumerates the return shape (rug_pull true/false, confidence, 5 named signals), which is unusually concrete. It does not differentiate itself from siblings like token_risk, token_verdict, or token_safety_demo, which appear to overlap on the same chain/token-risk space.

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

Usage Guidelines3/5

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

'Use before buying a new Base token' gives one clear use context, which is more than nothing. However, with four semantically adjacent siblings (token_risk, token_verdict, token_safety_demo, holder_check) in scope, the absence of any when-to-use-this-vs-that guidance is a real gap.

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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