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

Yuran rangkaian Solana

yuran-rangkaian

Yuran rangkaian Solana semasa: taburan tip keutamaan (minimum, median, p75, p90, maksimum) dan anggaran kos satu urus niaga 200,000 unit pengiraan, berserta TPS rangkaian. Input pilihan: "akaun" (alamat boleh-tulis dipisah koma, maks 5) untuk anggaran tepat. || HARGA: $0.0050 USDC per panggilan. Pelaksanaan: POST https://crypto-micro-agent.mykira.workers.dev/api/agent/yuran-rangkaian (x402; data/langsung).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
akaunNoAlamat akaun boleh-tulis dalam urus niaga anda, dipisah koma (maks 5). Kosong = guna SOL & USDC sebagai rujukan.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

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 full burden and does well: it discloses the $0.0050 USDC per-call price, the transport (POST to a specific x402 endpoint), and that data is live. It stops short of stating auth/payment mechanics or latency, but per-call pricing and protocol are meaningful behavioral context.

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?

Purpose and outputs are front-loaded, and the price/implementation trailer is compact and actionable. Slightly dense but every clause (returns, optional input, price, endpoint) earns its place.

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?

No output schema exists, and the description compensates by listing the return fields (tip stats, cost estimate, TPS). Payment and endpoint are covered, and the single optional param is explained, leaving only minor gaps like exact response shape.

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% and the single parameter is already documented verbatim, including the empty-default behavior. The description restates but adds no syntax or format detail beyond the schema, so the 3 baseline for high coverage applies.

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 resource (Solana network fee) and enumerates exactly what is returned: priority tip distribution (min/median/p75/p90/max), cost estimate for a 200,000 CU transaction, and network TPS. This clearly separates it from siblings like harga and fx-kadar.

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?

It explains the optional 'akaun' input improves estimation accuracy, which implies when to supply it, but gives no explicit when-to-use vs sibling guidance and no exclusions. Usage is implied rather than spelled out.

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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