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token_safety

Read-only

RugRadar token safety check: mint/freeze authority, holder concentration, liquidity, age, deployer history, dev holding/sold, snipers, bundles, volume vs market cap, socials; 0-100 risk score. $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": "token_safety"
  }
}

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

B3.4/5.0
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 known. The description adds genuinely useful behavior beyond that: a per-call cost ($0.01), the volume of data returned (45+ data points across 5 chains), and a 0-100 risk score output format, which an agent needs for cost/benefit decisions.

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

Conciseness3/5

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

The first sentence front-loads the purpose well, but the second sentence is sales-oriented and repeats signals already named in sentence one (dev-sold, snipers, bundles, volume vs market cap). The parenthetical re-listing is redundant padding rather than added clarity.

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 read-only tool with no output schema, the description adequately conveys the return shape (0-100 risk score, 45+ data points, named signals) and cost, which is the key missing structured information. It does not, however, address pagination/latency or how the risk score should be interpreted.

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 schema already documents the chain default behavior (solana default, 0x addresses default to base), the token format, and the api_key header alternative. The description adds no parameter-level meaning beyond the schema, so the baseline 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 ('RugRadar token safety check') and enumerates the exact signal categories it evaluates, so an agent knows precisely what it computes. Sibling differentiation is only implicit: it contrasts against 'RugCheck's free report' but never names the sibling tools rug_check or honeypot_check or explains how it differs from them.

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 / when-not guidance and no routing to the sibling honeypot_check or rug_check tools. The pricing detail ($0.01 per check) hints that this is the heavyweight option but leaves the agent to infer when it should be preferred over a cheaper 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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