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goofish-cli

goofish-cli

by fancyboi999
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

auth_status

Verify the validity of your Goofish login session and retrieve the associated user identifier (unb), tracknick, or nickname.

Instructions

检查登录态是否有效，返回 unb / tracknick / 昵称

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": "auth_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns login-relevant fields, but it does not explicitly state whether the operation is read-only or what happens when the login state is invalid, leaving some behavioral ambiguity.

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, front-loaded sentence with no filler. It directly states the action and the return values, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 params) and the presence of an output schema describing return values, the description is largely complete. It could be slightly enhanced by noting when to use it (e.g., before auth-dependent operations), but the core information is sufficient.

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 0 parameters, so the baseline is 4. The description does not need to add parameter details, and the schema already has no properties. The description appropriately focuses on the return information.

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 uses a specific verb ('检查' / check) and resource ('登录态' / login state), and specifies the return fields (unb / tracknick / 昵称), which clearly distinguishes it from sibling auth tools like auth_login and auth_reset_guard.

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?

The description implies that the tool is used to check login validity, but it does not provide explicit when-to-use context or mention alternatives such as auth_login or auth_reset_guard. No exclusions or prerequisites are stated.

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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