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Feegate AI Agent data marketplace catalog & platform metrics

gas-board.gas_now

Read-onlyIdempotent

Ask "what is gas price on each chain" — free: gas in gwei for 6 chains and the cheapest chain. | 免费档:返回 6 条链各自的 gas 价格(gwei)、最便宜的链名。参数 chains 可选(逗号分隔,如 base,arbitrum)。

[zh] 供应方资产「六链 Gas 与手续费成本」免费(每日限额按调用方计)。 入参:chains。 [en] Vendor asset "六链 Gas 与手续费成本". Free (daily per-caller quota). Args: chains. 付款/支付头在 MCP 请求头里带(X-Payment / X-Payment-Tx / Authorization: Bearer fg_…),不要放进参数。

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "gas-board.gas_now"
  }
}

Input Schema

NameRequiredDescriptionDefault
chainsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent and open-world, so the safety profile is covered. The description adds genuinely non-obvious behavior: a free tier with a daily per-caller quota, and that payment credentials go in MCP headers (X-Payment / X-Payment-Tx / Bearer) rather than parameters. That last point prevents a real invocation error and is exactly the sort of context annotations cannot carry.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The same facts are restated three times across the English line, the [zh] block and the [en] block, and 'free / 免费档 / Free (daily per-caller quota)' appears repeatedly. The useful content is front-loaded, but roughly half the text is redundant duplication that wastes context.

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 single optional-parameter read tool with no output schema, the description covers what is returned (gwei per chain, cheapest chain), the quota constraint, and how to authenticate. The only meaningful omission is the default chain set when chains is not supplied.

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 description coverage is 0%, so the description must compensate, and it does: it states chains is optional, comma-separated, and gives a concrete example ('base,arbitrum'). That is enough to call the tool correctly without reading the schema, though it does not say what the default 6 chains are when omitted.

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 states a concrete resource and output: gas price in gwei for 6 chains plus the cheapest chain, which lets an agent distinguish it from a broader report tool. It is diluted by the bilingual restatement and the odd 'Ask "what is gas price on each chain"' framing, but the core purpose is unambiguous.

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

Usage Guidelines2/5

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

There is no statement of when to choose this over a sibling such as gas-board.gas_report, nor any exclusion or prerequisite beyond the quota note. The agent must infer that this is the lighter per-chain snapshot rather than the fuller report.

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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