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buy_coin_POL

Paid. POL/USD live: last price, 24h open/high/low, % change, 24h and 30d volume (Coinbase Exchange, Kraken cross-check). $0.05 USDC on Base. No account, no API key. Failed calls not charged. URL https://southpow.media/v1/price/POL.

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_coin_POL"
  }
}

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 supplied, the description carries the full burden and does most of it well: it discloses that the call is paid ($0.05 USDC on Base), requires no account or API key, and is not charged on failure. The upstream sources (Coinbase Exchange with Kraken cross-check) and the raw endpoint URL are also given, leaving only latency/freshness and response format unstated.

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?

Compact and front-loaded: payment status first, then the returned fields, then cost/auth/failure policy, then the URL. The telegraphic fragments ("Paid.", "No account, no API key.") are slightly clipped but every clause carries information an agent needs.

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

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description must enumerate return values — it does, field by field. Combined with cost, chain/payment asset, authentication requirements, failure billing, and data provenance, an agent has everything needed to call this correctly and decide whether the spend is justified.

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 no parameter semantics to explain and the baseline of 4 applies. The description correctly adds no filler about inputs and instead spends its words on outputs and payment terms.

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?

The description names the exact resource and dataset: POL/USD last price, 24h open/high/low, % change, and 24h/30d volume. Explicitly writing "POL/USD" also disambiguates from the nearby sibling buy_coin_POLS, so an agent can select the right ticker without opening either 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?

Usage is only implied — an agent infers it should call this when it needs POL spot data. There is no explicit when-to-use versus alternatives such as buy_crypto_price, and no statement of when-not to use it, though "Failed calls not charged" implicitly encourages retrying on error.

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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