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llm-prices-cn

llm-prices-cn

by szp2005
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

list_llm_prices

Retrieve daily-verified LLM API pricing per million tokens, filtered by vendor and currency (CNY or USD).

Instructions

List daily-verified LLM API prices (per 1M tokens).

Args: vendor: optional filter, matched against vendor name/id (e.g. "deepseek", "openai"). currency: "CNY" (default) or "USD".

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": "list_llm_prices"
  }
}

Input Schema

NameRequiredDescriptionDefault
vendorNo
currencyNoCNY

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior3/5

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

No annotations present, so description carries full burden. It states prices are daily-verified and lists filters, but lacks details on authentication, rate limits, or response structure.

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?

Extremely concise: one-line summary plus two parameter descriptions. Front-loaded, no wasted words.

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?

Adequate for a simple listing tool, but lacks description of output format or return value, which would help an agent interpret results.

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?

With 0% schema description coverage, description adds meaning: vendor filter with examples ('deepseek', 'openai'), currency options ('CNY' default, 'USD'). However, it doesn't specify behavior when vendor is omitted.

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?

Description clearly states 'List daily-verified LLM API prices' with specific verb and resource, and distinguishes from sibling 'estimate_cost' which computes costs.

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?

Description mentions optional filters but does not explicitly state when to use versus 'estimate_cost' or provide exclusions. Usage is implied but not directly guided.

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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