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buy_tok_FRM

Paid. Ferrum Network (FRM) 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/FRM.

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_FRM"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
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, the exact price ($0.05 USDC), the accepted chains (Base or Solana), that no account or API key is needed, and that failed calls are not charged. It stops short of describing rate limits, data freshness, or what a successful response body looks like, which keeps it below a 5.

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?

Five short fragments, front-loaded with 'Paid.' so the cost is the first thing an agent sees. Every clause (payload fields, price, chains, no-auth, no-charge-on-failure, URL) adds distinct information with no repetition.

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-param, no-output-schema tool the description covers the important unknowns: what data comes back, what it costs, how to pay, and that auth is unnecessary. The main residual gap is the response shape and data freshness, which an agent would have to discover by calling.

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 the description could meaningfully add on argument semantics. The token identity is baked into the endpoint, which the description makes clear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource (Ferrum Network / FRM) and enumerates the exact payload: live USD price, 24h change, and market-cap rank. An agent can tell this apart from the thousand sibling buy_tok_* endpoints purely from the description without opening any schema.

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?

The description establishes the paid context and prerequisites but never says when to pick this over adjacent siblings such as buy_crypto_price or the buy_coin_* family. Usage is implied by the token symbol rather than routed explicitly, and no exclusion or fallback is offered.

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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