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buy_tok_FDIT

Paid. Fidelity Digital Interest Token (FDIT) 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/FDIT.

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_FDIT"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
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 the call is paid, the exact price ($0.01 USDC), the accepted payment chains (Base or Solana), the absence of auth/registration, and the failure-charging policy. These are exactly the traits an agent needs before spending money. It omits rate limits and latency expectations, which keeps it from 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.

Conciseness4/5

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

Front-loads the critical fact ("Paid.") before the capability, then packs cost, payment rails, auth, and refund policy into a few short clauses with no filler. The trailing raw URL is arguably redundant with the tool name but is cheap and useful for verification.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

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 what matters (cost, payment method, no auth, no charge on failure) and enumerates returned fields. It stops short of saying anything about response shape, freshness/latency, or how this differs from the many parallel price tools, which is the main residual gap for an agent choosing among hundreds of siblings.

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?

Zero parameters, so there is nothing to disambiguate; baseline is 4. The description correctly signals that no inputs are needed beyond the call itself.

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?

States a specific resource (FDIT price) and the exact payload: live USD price, 24h change, market-cap rank. That makes the return content unambiguous. It does not, however, distinguish itself from the large family of per-asset price siblings (buy_coin_*, buy_tok_*, buy_crypto_price), so an agent gets no routing signal from the text alone.

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?

"No account, no API key" and "Failed calls not charged" imply frictionless ad-hoc use, but there is no explicit statement of when to pick this over buy_crypto_price or a buy_coin_* equivalent for FDIT. Usage is only implied by the resource name.

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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