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Myworker — 20 paid crypto & AI micro-APIs (x402)

Kadar gas rantai-tetamu

kadar-gas

Gas live (eth_gasPrice) untuk Ethereum, Base, Arbitrum, Optimism + tip keutamaan Solana (RPC awam percuma). Termasuk anggaran USD untuk transfer standard (21k gas). Input pilihan: "rangkaian" (cth base / sol / ethereum). || HARGA: $0.0050 USDC per panggilan. Pelaksanaan: POST https://crypto-micro-agent.mykira.workers.dev/api/agent/kadar-gas (x402; data/langsung).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rangkaianNoPilihan: base | ethereum | arbitrum | optimism | solana | kosong = semua

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

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 behavioral burden and does disclose meaningful traits: the exact price ($0.0050 USDC per call), the x402 payment protocol, the POST endpoint, that Solana data comes from a free public RPC while others are live eth_gasPrice, and that a USD estimate is included. It does not mention rate limits or failure/timeout behavior, 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?

Front-loaded with the capability (live gas for four chains plus Solana tip), then the optional input, then pricing/transport in a compact '||' separated block. Every clause carries information. The endpoint URL and pricing token make the second half denser than it needs to be, but nothing is wasted.

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 no-annotation, no-output-schema tool with one optional parameter, the description covers what an agent needs: what data is returned (chain gas prices plus Solana tip plus a 21k-gas USD estimate), the cost and payment mechanism, and the transport. Only rate-limit and error-handling context is absent, which is a minor gap.

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 single parameter is already documented in the schema ('base | ethereum | arbitrum | optimism | solana | kosong = semua'), so the baseline is 3. The description only restates the parameter name and adds example values ('cth base / sol / ethereum'); it contributes no new semantics such as default network or invalid-value behavior.

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: fetch live gas price via eth_gasPrice for Ethereum, Base, Arbitrum, Optimism, plus Solana priority tip, with a USD estimate for a standard 21k transfer. That is concrete and unambiguous. However it never distinguishes itself from the sibling 'yuran-rangkaian' (network fee), which an agent could plausibly confuse it with.

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 only implied: you call it when you need a current gas price, and 'rangkaian' is optional with 'kosong = semua' meaning all networks. There is no explicit when-to-use, when-not-to-use, or pointer to an alternative sibling for fee-related questions. Adequate but leaves routing to inference.

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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