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FactorHub MCP Server

FactorHub MCP Server

by michaelfeng
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

set_api_key

Set your FactorHub API key to activate your personal quota for A-share market data queries and backtests.

Instructions

设置你的 FactorHub API Key。注册获取：https://factorhub.cn/api-keys。设置后本次会话将使用你的专属额度。

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "api_key": "<api_key>"
    },
    "name": "set_api_key"
  }
}

Input Schema

NameRequiredDescriptionDefault
api_keyYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose important behavioral details such as whether the key is overwritten if already set, security implications, or persistence across sessions. It only mentions session-level effect.

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 extremely concise: a single clear sentence and a URL. It is front-loaded with the purpose and minimally worded, with no superfluous content.

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?

Given the tool's simplicity (single parameter, no nested objects, output schema exists), the description is adequate but lacks details on error handling, key validation, and response behavior. It covers the core function minimally.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter 'api_key' is a string with no description in the schema (0% coverage). The description implies it's the API key but does not specify format, length, or validation rules, adding minimal value beyond the schema.

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 clearly states the tool's purpose: setting the FactorHub API Key. It uses a specific verb ('设置') and resource ('FactorHub API Key'), and distinguishes it from sibling tools which are all data retrieval or analysis tools.

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 provides context for when to use the tool (first-time setup, '设置后本次会话将使用你的专属额度') and includes a registration URL. However, it does not explicitly state when not to use it or mention alternatives, though no alternative exists among siblings.

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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