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好縮 Short

Get Service Info

get_service_info
Read-onlyIdempotent

Get service capabilities, membership quota policies, and real-time platform statistics of Gooo Short (好縮 short.gooo.name / s.gooo.name). Use when the user asks what Gooo Short can do, quota limits, or overall platform metrics (alias: get_stats_overview).

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": "get_service_info"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
api_domainNoAPI & MCP endpoint domain (https://short.gooo.name)
today_urlsNoShort links created today
total_urlsNoTotal active short links
total_usersNoRegistered users count
service_nameNoService name
short_domainNoShort link domain (https://s.gooo.name)
total_clicksNoCumulative link clicks

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds value by naming the content categories returned and flagging that the statistics are real-time, which the annotations do not convey. No auth or rate-limit notes, but none are plausibly needed for a zero-parameter read.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The capability statement is front-loaded in a single dense sentence, with the usage trigger following immediately. The product URL variants (short.gooo.name / s.gooo.name) add slight noise without changing invocation behavior, but nothing is genuinely wasteful.

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, full annotation coverage, and an output schema that documents return values, the description only needs to establish purpose and trigger conditions, and it does both completely. An agent can decide to call this and invoke it with no further information.

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 takes zero parameters, so the baseline of 4 applies and there is no parameter semantics to compensate for. The parenthetical alias get_stats_overview adds a small amount of disambiguation value rather than parameter meaning.

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?

States a specific verb (Get) plus three concrete resource classes: service capabilities, membership quota policies, and real-time platform statistics. The named product and domains make it unambiguous, and the platform-level scope distinguishes it from sibling tools such as get_link_analytics, get_link_info, and get_user_profile.

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?

Gives explicit trigger conditions (user asks what the service can do, quota limits, or overall platform metrics), which is stronger than most siblings. It lacks an explicit 'do not use when' clause, leaving the agent to infer that per-link or per-user questions belong to get_link_analytics and get_user_profile, but the platform-wide framing points correctly.

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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