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Omega x402 Security, Biomed & Escrow Intelligence MCP

token_rug_scan

Live on-chain token rug-pull scanner for Base (EVM mint/pause/blacklist/fee-trap & proxy inspection) and Solana SPL/Token-2022 (mintAuthority, freezeAuthority, top-5 whale concentration) fused with DexScreener LP & FDV metrics. (Paid x402 endpoint: $0.02 USDC at GET https://agy-x402-gateway.omega-x402-edge.workers.dev/api/v1/token-rug-scan)

Input Schema

NameRequiredDescriptionDefault
chainNoOptional chain override: base or solana
addressNoBase 0x... or Solana Base58 mint address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose significant behavior beyond the schema: it is a live on-chain call, it aggregates external data (DexScreener LP/FDV), and critically it is a paid x402 endpoint at $0.02 USDC with the exact gateway URL. It does not disclose response shape, latency, failure modes, or what happens if payment is missing, so it stops short of full transparency.

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?

Purpose is front-loaded and no sentence is filler, but the entire definition is one long sentence built from nested parentheses that mixes chain coverage, checks performed, data sources, and billing details. A short split into purpose / coverage / cost would be far easier to parse under token pressure.

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

Completeness3/5

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

For a two-parameter tool with no output schema and no annotations, the description should say roughly what a caller receives (scored verdict vs raw signal list) and how the payment/what the result looks like. It explains what is inspected but not what comes back, which is the main gap given no output schema exists.

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 coverage is 100%, so both parameters are already documented with their formats (base/solana, 0x/Base58). The description adds context about what each chain is inspected for, but supplies no additional semantics about the 'optional chain override' behavior — e.g., whether chain is inferred from the address when omitted.

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?

States a specific verb+resource ('token rug-pull scanner') with the exact chains covered and the concrete signals inspected (mint/pause/blacklist/fee-trap, proxy, mintAuthority/freezeAuthority, whale concentration, LP/FDV). An agent immediately knows this is a token contract risk audit, distinguishable from sibling tools like wallet_forensics or base_escrow_audit which operate on different objects.

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?

Usage is implied by the resource ('scan a token before trusting it'), and the enumeration of checks hints at when the tool is valuable, but there is no explicit when-to-use vs when-not guidance, no mention of alternatives, and no statement of preconditions such as needing a valid token address on a supported chain.

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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