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WattCoin: Get pricing

get_pricing
Read-onlyIdempotent

WattCoin: How to pay for WATT services: live per-service prices (WATT only), the payment wallet, the pay-per-use flow, the free scrape tier and whether the LLM service is currently available. Use before web_scrape or before paying for anything; use get_watt_token_info for market data. No auth needed; read-only and live. Returns JSON.

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": "get_pricing"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Beyond the structured annotations (readOnlyHint, destructiveHint), the description adds crucial behavioral context like 'No auth needed,' 'live,' and confirms the expected output format ('Returns JSON').

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?

The description is highly dense and efficient. Every clause serves a purpose—defining content, usage timing, or alternatives—without being verbose.

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?

Given the zero parameters and rich annotations, the description successfully fills all contextual gaps for an agent, explaining the tool's operational context and purpose completely.

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 has zero parameters. Since the schema coverage is 100%, the description doesn't need to add semantic meaning, and the baseline score of 4 is appropriate for a parameter-less tool.

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 is highly specific, detailing exactly what pricing information is provided ('live per-service prices', 'payment wallet', 'free scrape tier'). It clearly distinguishes itself from other pricing tools like get_watt_token_info by defining its scope as service pricing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage guidelines are explicit: it specifies using the tool 'before web_scrape or before paying for anything,' and provides a direct alternative for market data (use get_watt_token_info).

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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