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slb-cn

CyberQuant MCP Server

by slb-cn

configure

Configure API key and query settings for CyberQuant data access. View current config or set apiKey, endpoint, and page size.

Instructions

配置 API Key 以访问数据服务,配置文件位于 /.cyberquant/config.json。不传任何参数时为「查询配置状态」(只读,返回是否已配置/endpoint/pageSize,不回显密钥、不写文件);传入任意参数则为「写入配置」——apiKey 首次必填,配置文件已有 apiKey 时可省略(保留现有值);endpoint 默认 https://api.cyberspace2077.com,通常无需传入;pageSize 可选(11000),省略则保留现有配置值。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiKeyNoAPI Key,格式为 sk_live_xxx。首次配置必填;配置文件已有 apiKey 时可省略,保留现有值。
endpointNoAPI Gateway 地址,默认 https://api.cyberspace2077.com
pageSizeNo单次查询返回条数,默认 200,上限 1000。省略则保留现有配置值。
Behavior5/5

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

Despite no annotations, the description fully discloses behaviors: query mode is read-only, does not write file, does not echo secret; write mode updates config file. It covers all parameter behaviors and side effects.

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 a single, well-structured paragraph that front-loads purpose, then explains modes and parameters efficiently. Every sentence adds value; no redundancy.

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 moderate complexity (3 params, no output schema), the description is complete. It covers all modes, all parameters, defaults, and file location. No gaps remain for an agent to understand usage.

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

Parameters5/5

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

Schema coverage is 100%, but description adds significant context: first-required vs optional, default values, retention behavior. This goes beyond the schema descriptions, providing complete parameter semantics.

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 configures API Key for data service, with two distinct modes: query (no params) and write (with params). It mentions the config file location and distinguishes from sibling tools which are about routes, queries, etc.

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?

The description provides explicit guidance on when to use query mode (no params) vs write mode (any param). It explains first-time required vs optional parameters, default values, and behavior when parameters are omitted.

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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