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rug_check

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RugRadar rug check / rug pull checker: 0-100 risk score with plain reasons and a buyer summary for a token on Solana (incl. pump.fun), BNB, Base, Ethereum or Arbitrum. $0.01 per check: 45+ data points per token, including 16 signals RugCheck's free report doesn't show (dev-sold %, sniper and launch-bundle share, a live can-you-sell quote, the creator's past launches, volume vs market cap, bot-trading score), across 5 chains.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "token": "<token>"
    },
    "name": "rug_check"
  }
}

Input Schema

NameRequiredDescriptionDefault
chainNodefault solana; 0x addresses default to base
tokenYesSolana mint or EVM 0x token contract
api_keyNooptional RugRadar credit key (or send header X-RugRadar-Key)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered; the description goes beyond them by disclosing the price per call ($0.01), the breadth of analysis (45+ data points across 5 chains), and the shape of the result in the absence of an output schema. It does not mention latency, rate limits, or what happens on an unsupported/ambiguous token, which keeps it short of a 5.

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?

Two dense sentences that front-load the tool's function, its output, and its cost. The competitive jab at RugCheck's free report is promotional, but it does convey a differentiation an agent could use. Nothing is badly padded, though the second sentence is a long comma-heavy list.

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?

There is no output schema, so the description correctly carries the burden of describing the return value (0-100 score, reasons, buyer summary), along with pricing and chain coverage. For a single-required-parameter tool this is largely complete, with the only real omission being guidance on chain selection ambiguity for non-0x inputs.

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 the schema already documents the chain enum, the token identifier, and the optional api_key. The description adds no syntax or format detail beyond what the schema provides, which is the correct baseline of 3 for a fully documented schema.

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?

The description names a specific verb and resource ('RugRadar rug check / rug pull checker') and states the output concretely: a 0-100 risk score with plain reasons and a buyer summary. It enumerates the supported chains, so an agent knows the scope. It does not, however, distinguish itself from the siblings honeypot_check and token_safety, which is what would be needed for a 5.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance and no mention of the alternatives honeypot_check or token_safety, despite obvious overlap (the description even advertises a 'live can-you-sell quote', which is honeypot territory). The $0.01-per-check note implies a cost-sensitive decision but never states the condition under which this tool is the right pick.

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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