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buy_coin_MSOL

Paid. MSOL/USD live: last price, 24h open/high/low, % change, 24h and 30d volume (Coinbase Exchange, Kraken cross-check). $0.25 USDC on Base. No account, no API key. Failed calls not charged. URL https://southpow.media/v1/price/MSOL.

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_MSOL"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
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 substantial work: cost ($0.25 USDC on Base), no account or API key required, failed calls not charged, dual-source cross-check, and a raw endpoint URL. What it omits is response format, latency/caching behavior, and rate limits, so it is strong but not complete.

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?

Information is front-loaded ('Paid.' then data, then price, then access terms, then URL) and every clause carries a distinct fact with no filler. It is telegraphic almost to a fault, but nothing is redundant given the absence of schema and annotations.

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 zero-parameter, no-annotation, no-output-schema tool, the description supplies the return fields, sources, payment model, and endpoint, which is close to everything an agent needs to invoke and reason about it. The residual gaps are response encoding and the buy-versus-read ambiguity created by the tool name.

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?

The input schema has zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly implies the asset is fixed by the tool rather than passed as an argument, which prevents the agent from hunting for a symbol parameter.

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 the exact resource and scope ('MSOL/USD live') and enumerates the returned fields (last price, 24h open/high/low, % change, 24h and 30d volume), so the agent knows precisely what data this yields. It stops short of an explicit verb ('returns'/'fetches'), and the tool name 'buy_coin_MSOL' misleadingly implies a trade rather than a price read, leaving the description to correct that impression implicitly.

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 by the asset pair; there is no statement of when to pick this over the generic sibling buy_crypto_price or over buy_coin_SOL, nor any precondition for calling it. The data-source note (Coinbase Exchange, Kraken cross-check) hints at reliability positioning but is not routing guidance.

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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