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$0.09 via x402: Token Intelligence Connector — ONE call fuses GoPlus rug-check (honeypot, taxes, mint/owner risk) + Dexscreener market data (price, liquidity, volume, momentum) into a single GO/CAUTION/AVOID recommendation. The aggregator call trading & sniping agents make instead of chaining rug-check + dex separately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoethereum|base|bsc|polygon|arbitrum|optimism|avalanche (default ethereum)
addressYesToken contract address 0x...
x_paymentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
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  4. Removed
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TDQS

A4.1/5.0
Behavior4/5

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

The description discloses the cost ($0.09), the external data sources (GoPlus, Dexscreener), and the output shape (GO/CAUTION/AVOID recommendation). It does not explicitly state read-only semantics or failure behavior, but for an intelligence lookup tool the side-effect profile is well implied and the cost is a notable side effect that is surfaced.

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?

The description is a single, compact sentence that front-loads the core purpose and includes pricing and concrete use-case framing. It is slightly promotional with 'ONE call' and 'trading & sniping agents,' but it remains efficient and information-dense.

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?

The description covers what the tool does, which data sources it fuses, the kind of verdict it returns, and the cost. With no output schema, it could go further on exact return fields and error behavior, but the core information an agent needs to decide to use this tool is present.

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?

With 67% schema coverage, the address and chain parameters are partially self-explanatory, and the description's mention of token address and chain context adds a bit of meaning. However, x_payment is left unexplained in both the schema and the description, so the description does not fully compensate for the coverage gap.

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?

The description names a specific operation: a single aggregated call that combines GoPlus security checks and Dexscreener market data into a GO/CAUTION/AVOID verdict. It clearly distinguishes this tool from chaining separate rug-check and dex tools, so an agent can tell what it does without opening the schema.

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

Usage Guidelines4/5

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

The description explicitly frames the tool as the aggregator alternative to making separate rug-check and dex calls, which is strong guidance for when to choose it. It does not enumerate edge cases like 'when you only need price data, use dex directly,' but the intended context is clear.

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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