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selvin-search-mcp

selvin-search-mcp

by selvinchen97-lab
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

get_config_info

Check current server configuration and test upstream connectivity to debug connection or configuration issues.

Instructions

Returns current Selvin Search MCP server configuration and tests the configured upstream connectivity.

**Key Features:**
    - **Configuration Check:** Verifies environment variables and current settings.
    - **Connection Test:** Sends request to /web_search in api mode, /models in model_online mode, or both in parallel mode.

**Edge Cases & Best Practices:**
    - Use this tool first when debugging connection or configuration issues.
    - API keys are automatically masked for security in the response.
    - Connection test timeout is 10 seconds; network issues may cause delays.

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_config_info"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden. It discloses configuration retrieval, connection testing, API key masking, and a 10-second timeout. However, it does not describe failure modes or response structure in detail.

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, well-structured with bullet points, and front-loaded with the main purpose. Every sentence adds value without redundancy.

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 no parameters, output schema, or annotations, the description covers the tool's main functions and security. It could be more informative about error handling or response format, but it is largely complete for its purpose.

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 no parameters, and schema coverage is 100%. The description adds value by explaining what the tool does beyond the empty schema, contextualizing its purpose and behavior.

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 returns the current server configuration and tests upstream connectivity, using specific verbs and resources. It distinguishes itself from sibling tools like web_search or get_sources by focusing on diagnostics.

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?

Explicit guidance: 'Use this tool first when debugging connection or configuration issues.' This tells the agent exactly when to invoke it, along with edge cases and best practices.

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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