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buy_tok_KLED

Paid. Kled AI (KLED) 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/KLED.

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_KLED"
  }
}

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 provided, the description carries the full behavioral burden and does well: it declares the tool is paid, names the exact price ($0.01 USDC), lists both accepted chains (Base, Solana), confirms no account or API key is required, and states that failed calls are not charged. Missing only latency/data-freshness and the shape of the success response, 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.

Conciseness4/5

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

The single dense line is front-loaded with the key qualifier ('Paid.') and then the asset, then the data payload, then cost and access terms. Every clause carries information, though the colon-and-period cadence is slightly run-on and could be broken into clearer segments.

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 call, the description covers the essentials: what data comes back, what it costs, on which chains, and that failures are free. Nothing an agent needs to invoke it correctly is absent, though the return value format is only described in prose rather than structurally.

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 disambiguate. The URL is included, which lets an agent confirm the exact endpoint, but there are no parameter semantics to add meaning 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 the specific asset (Kled AI / KLED) and enumerates exactly what the call returns: live USD price, 24h change, and market-cap rank. That is a clear verb-plus-resource statement an agent can act on. It stops short of differentiating itself from near-siblings like buy_crypto_price or buy_coin_*, which is the only thing keeping it from a 5.

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?

Payment prerequisites are stated ($0.01 USDC on Base or Solana, no account, no API key), which implies this is the paid per-asset price call. However, there is no explicit 'use this when X, use buy_crypto_price when Y' routing guidance despite hundreds of sibling token tools, so the agent must infer selection from the tool name alone.

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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