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Pricing

pricing
Read-onlyIdempotent

What a call costs (per answered call, per minute after the first 2, the 30-minute cap), what's free (unanswered and busy calls, the demo lines), and how credit and auto-reload work. Read-only; use it when the user asks about cost before a call.

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": "pricing"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, and closed-world behavior. The description adds substantive context about what pricing details are covered, including free-call conditions and auto-reload mechanics, though it repeats 'read-only' and does not describe response formatting.

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 compact and front-loaded: it leads with what the tool returns and immediately follows with when to use it. Every phrase adds useful scope or trigger information without padding.

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?

With no parameters, rich annotations, and no output schema, the description carries the burden of explaining return content and does so by enumerating the pricing rules and free-call cases. An agent has enough context to call it correctly for cost questions.

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, so parameter semantics are not applicable. The schema is empty and no parameter-level description is needed; this meets the baseline for a parameterless tool.

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 clearly states that this tool provides call-cost information, including per-call, per-minute, cap, free-call, credit, and auto-reload details. It is readily distinguishable from action-oriented siblings like place_call or plan_call, though it does not explicitly name alternatives.

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

Usage Guidelines4/5

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

The description gives a clear usage trigger: read-only, use when the user asks about cost before a call. It does not explicitly cover when not to use it or name alternative tools such as plan_call or account.

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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