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fuci_on_arc

Fuci on Arc, read from the chain every 10 minutes: every Uniswap v4 pool paired with the REAL $FUCI (0xE66d...4420) with its class (launch = made through Fuci's launchpad; high-fixed-fee = a FIXED fee of 10% or more on every trade, where a routed buy loses that share), live liquidity and price; every $FUCI burn checked against the claim that fees burn it every day; and the tokens that call themselves FUCI but are not. $0.003 per call over x402 (USDC on Arc, Base or Solana, or XNT on X1). Call once without payment for the terms, sign them with your own wallet, call again with payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paymentNoa signed x402 payment (the base64 payload you would put in PAYMENT-SIGNATURE). Pass it and the purchase completes inside this tool call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
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 well: it discloses the 10-minute refresh cadence, the $0.003 per-call cost, the accepted payment rails (USDC on Arc/Base/Solana, XNT on X1), and the two-step x402 auth requirement. It does not describe the return shape, but the payment/freshness/cost disclosures are the materially useful traits here.

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 core purpose is front-loaded, but the opening is a single sprawling sentence with multiple nested parentheticals (class definitions, fee explanation, address) that hurt scannability. Information density is high, but it is not tightly structured.

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 one-parameter, no-output-schema, paid read tool, the description covers what is returned, freshness, cost, and the payment handshake, leaving little an agent needs missing. Only the response format and routing versus sibling tools are unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description goes beyond the schema by explaining the intent of `payment` within a two-step flow (fetch terms first, then pass the signed payload). That adds real semantics about how and when to populate the field.

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+resource (reads Uniswap v4 pools paired with the real $FUCI, plus burns and impostor tokens) and even cites the token address, so the agent knows exactly what data this returns. It is clearly a FUCI-specific on-chain read, though it never names a sibling (arc_pools, arc_impostors, arc_token_check) to explicitly disambiguate.

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?

It gives an actionable call pattern: call once without `payment` to receive terms, sign with your own wallet, then call again with `payment`. That is clear usage context and a prerequisite flow. It does not, however, say when to prefer this over the many sibling pool/token/impostor tools.

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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