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buy_tok_USDFR

Paid. Forest Road USDfr (USDFR) price: live USD price, 24h change and market-cap rank. $0.01 USDC on Base or Solana. No account, no API key. Failed calls not charged. URL https://southpow.media/v1/price/USDFR.

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_USDFR"
  }
}

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 a solid job: it declares the call is paid ($0.01 USDC on Base or Solana), requires no account or API key, is not charged on failure, and gives the endpoint URL. Not disclosed: whether the data is cached/stale, any rate limits, or response shape beyond the three named fields.

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

Conciseness5/5

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

Roughly three telegraphic sentences, front-loaded with the payload, then cost, then access terms, then URL. Nothing is padded and no sentence restates the title. Every clause carries a distinct decision-relevant fact.

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 tool with no annotations, the description supplies the important context: what fields come back, what it costs, how payment works, and that failures are free. The only shortfall is data freshness and response format, which matter for a price quote but are not covered anywhere else.

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 zero parameters, so the baseline is 4 and there is nothing for the description to clarify. The description correctly does not invent parameters and treats the symbol as baked into the tool rather than something the caller supplies.

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 a concrete resource (Forest Road USDfr / USDFR) and the exact payload: live USD price, 24h change and market-cap rank. That is far more specific than the bare tool name and tells an agent what it gets. It stops short of differentiating from near-neighbours like buy_crypto_price or buy_stable_usdf, which an agent scanning hundreds of buy_tok_* siblings would want.

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 a stated cost implies 'call this when you need USDfr pricing'. The pricing/account facts help the agent decide whether calling is feasible, but there is no explicit when-to-use, when-not-to-use, or pointer to an alternative for the same data.

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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