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buy_tok_USDF

Paid. Falcon USD (USDF) 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/USDF.

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_USDF"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral load, and it does well on the commercial/auth side: price ($0.05 USDC), accepted chains (Base or Solana), no account or API key, and no charge on failed calls. It stops short of disclosing rate limits, data freshness/latency, or what the success response body looks like.

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?

Four short clauses, front-loaded with 'Paid.' so the agent sees the cost gate before anything else. Every sentence carries information (asset, payload, price, chains, auth model, failure billing, endpoint) with no filler.

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 paid endpoint with no output schema, the definition covers the essentials an agent needs to decide and invoke: what is returned, what it costs, on which chains, and that failures are free. Missing only secondary detail such as response shape and data freshness.

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 there is nothing for the description to disambiguate beyond fixing the single hard-coded asset (USDF). Baseline 4 applies; naming 'Falcon USD' usefully pins down which token the fixed endpoint refers to.

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 specific resource (Falcon USD / USDF) and states the exact payload: live USD price, 24h change, and market-cap rank. That is enough to distinguish it from the hundreds of buy_coin_*/buy_tok_* siblings. It does not, however, explicitly disambiguate against near-identical USDF siblings such as buy_stable_usdf or buy_stable_usdf-219.

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 context is implied by 'Paid... No account, no API key,' which tells the agent this is a pay-per-call endpoint usable without credentials. There is no explicit statement of when to prefer this over buy_coin_*/buy_stable_usdf alternatives for the same asset, so routing between siblings is left to inference.

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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