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buy_coin_PUNDIX

Paid. PUNDIX/USD live: last price, 24h open/high/low, % change, 24h and 30d volume (Coinbase Exchange, Kraken cross-check). $0.01 USDC on Base. No account, no API key. Failed calls not charged. URL https://southpow.media/v1/price/PUNDIX.

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": "buy_coin_PUNDIX"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

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 that the call is paid ($0.01 USDC on Base), that no account or API key is needed, that failed calls are not charged, and that data comes from Coinbase Exchange with a Kraken cross-check. It stops short of explaining the payment mechanism (how the USDC is settled) or any rate/staleness behavior.

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 most decision-relevant fact ('Paid') followed immediately by the data payload and price. The telegraphic style is dense but every clause carries information; the raw endpoint URL is marginal but usable for direct verification.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, no-output-schema price tool, the definition covers what is returned, the upstream sources, the cost and payment chain, the absence of auth, and the failure-charging policy. That is enough for an agent to call it correctly and budget for it.

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?

Zero parameters, so there is nothing for the description to disambiguate; baseline applies. Usefully, it spends that space enumerating the returned data fields instead, which substitutes for the missing output schema.

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 resource and scope: live PUNDIX/USD price with named fields (last, 24h open/high/low, % change, 24h and 30d volume). It is clearly distinguishable from siblings by the ticker, though the description never explicitly contrasts itself with buy_crypto_price or the other per-asset price tools.

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: the presence of a price and cost implies 'call this when you need a PUNDIX spot quote.' There is no statement of when to prefer buy_crypto_price for arbitrary pairs, no guidance on quote freshness, and no mention of when not to call.

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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