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renyumeng1

mcp-scholar

by renyumeng1

health_check

Read-onlyIdempotent

Verifies whether the MCP Scholar service is running and returns status information.

Instructions

健康检查端点,用于验证服务是否正常运行

Returns:
    str: 服务状态信息

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.2.2
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "result": {
      +      "title": "Result",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "result"
      +  ],
      +  "title": "health_checkOutput",
      +  "type": "object"
      +}
  2. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds only the return type ('str: service status information'), and since an output schema exists, that detail is largely redundant. It adds little context beyond structured fields.

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?

Two lines with no filler, and the core purpose is stated first. The trailing Returns block is slightly redundant given an output schema but is not verbose.

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?

For a zero-parameter health check with rich annotations and an output schema, the description covers what an agent needs to call it correctly. Missing only explicit usage framing, which is minor here.

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 is 4; there is nothing for the description to disambiguate and the empty schema matches the description's framing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a clear verb+resource ('health check endpoint') and states its function ('verify whether the service is running normally'). It is easily distinguished from the search/paper-oriented siblings, though the opening phrase largely restates the tool name.

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?

It implies the use case (checking service health) and why one would call it, but never states when to use it versus alternatives or any exclusions/prerequisites. Adequate but with clear gaps.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.