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Code Expert MCP Server

Code Expert MCP Server

by lfnovo
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

get_auto_refresh_status

Check the current status of the auto-refresh system, including enabled state, scheduled repositories, next refresh times, and recent activity.

Instructions

Get the current status of the auto-refresh system.

    Returns information about:
    - Whether auto-refresh is enabled and running
    - Number of repositories scheduled for refresh
    - Next scheduled refresh times
    - Configuration settings
    - Recent refresh activity

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_auto_refresh_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the burden. The verb 'Get' and the listing of returned status categories imply a non-mutating read operation, offering useful behavioral context. However, it doesn't explicitly confirm read-only status or mention potential edge cases like system not running.

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 concise and front-loaded, with a clear main statement followed by a bulleted list of return categories. No redundant or missing content.

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?

For a simple zero-parameter tool without an output schema, the description provides a comprehensive overview of the return information. It sufficiently covers what the agent needs to know about the tool's functionality in context of its siblings.

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?

There are zero parameters, so the baseline is 4. The description appropriately focuses on return value categories rather than parameters, which adds no additional semantics needed for an empty 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 retrieves the current auto-refresh system status, listing specific information categories. It distinguishes from sibling action tools (start/stop/refresh) by being the status read mechanism.

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?

Usage is implied as the read-only counterpart to start/stop_auto_refresh, but there is no explicit when-to-use guidance or mention of alternatives. The context signals provide sibling names, but the description itself doesn't direct when to choose this tool.

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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