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buy_tok_RGOOGL

Paid. Alphabet Class A Tokenized Stock (Reality) (RGOOGL) price: live USD price, 24h change and market-cap rank. $0.05 USDC on Base or Solana. No account, no API key. Failed calls not charged. URL https://southpow.media/v1/price/RGOOGL.

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_tok_RGOOGL"
  }
}

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 real work: it discloses that calls are paid ($0.05 USDC), which chains settlement occurs on (Base or Solana), that no auth is required, and that failed calls are not billed. What it omits is rate limiting, data freshness/latency, and anything about the response shape or error behavior beyond the billing note.

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 and dense: what it returns, what it costs, how to pay, and the endpoint URL, with no filler. The phrasing is telegraphic ('(Reality)', bare URL fragment) 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 zero-parameter, no-output-schema price quote, the description covers the essentials: the asset, the fields returned, the cost, the payment rails, and the auth model. Remaining gaps are freshness/caching and response encoding, which matter but are secondary for a simple priced lookup.

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 tool takes no parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The token identity is baked into the tool name and endpoint URL, which is consistent with the empty 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?

The description names the exact resource (RGOOGL, Alphabet Class A tokenized stock) and states precisely what it returns: live USD price, 24h change and market-cap rank. It does not, however, distinguish itself from near-duplicate siblings such as buy_tok_GOOGLON, buy_tok_GOOGLB/GOOGLX/GOOGLC, or the buy_coin_* price family, so the agent must infer that this varies only by token/provider.

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: 'Paid' plus the price and the payment rails signal this is a per-call paid quote endpoint. There is no explicit when-to-use statement and no guidance on choosing between this and the other Alphabet-token or generic price tools; the 'no account, no API key' line is precondition info rather than 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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