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ping

Check server availability and get basic information like version and server time to verify connectivity without complex API calls.

Instructions

Simple ping endpoint to check server availability and get basic server information.

This endpoint provides a lightweight way to:
- Verify the server is running and responsive
- Get basic server information including version and server time
- Check connectivity without making complex API calls

Returns:
    Dict[str, Any]: Dictionary containing status and basic server information

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The main handler function for the 'ping' tool, decorated with @mcp.tool() which handles both registration and execution. It returns basic server health information without any input parameters.
    @mcp.tool()
    async def ping() -> Dict[str, Any]:
        """
        Simple ping endpoint to check server availability and get basic server information.
        
        This endpoint provides a lightweight way to:
        - Verify the server is running and responsive
        - Get basic server information including version and server time
        - Check connectivity without making complex API calls
        
        Returns:
            Dict[str, Any]: Dictionary containing status and basic server information
        """
        try:
            return {
                "status": "ok",
                "server": "splunk-mcp",
                "version": VERSION,
                "timestamp": datetime.now().isoformat(),
                "protocol": "mcp",
                "capabilities": ["splunk"]
            }
        except Exception as e:
            logger.error(f"❌ Error in ping endpoint: {str(e)}")
            return {
                "status": "error",
                "error": str(e),
                "timestamp": datetime.now().isoformat()
            }
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well by disclosing behavioral traits: it's a read-only operation that returns server information, doesn't modify anything, and provides version and server time. It could mention response format details or error behavior, but covers the essential safety profile adequately.

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 perfectly structured: opening statement of purpose, bulleted list of specific capabilities, and clear return value description. Every sentence earns its place with zero wasted words, and information is front-loaded effectively.

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 zero-parameter diagnostic tool with no annotations and no output schema, the description provides complete context: purpose, when to use, what it returns, and how it differs from other tools. The return format description ('Dict[str, Any]') compensates for the missing output schema.

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 with 100% schema coverage, so the baseline would be 4. The description appropriately doesn't discuss parameters since none exist, maintaining focus on the tool's 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's purpose with specific verbs ('check server availability', 'get basic server information') and distinguishes it from siblings by emphasizing it's a 'lightweight way' for connectivity verification rather than complex API operations like search_splunk or list_users.

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?

The description explicitly states when to use this tool: 'to check server availability', 'verify the server is running and responsive', and 'check connectivity without making complex API calls'. It clearly distinguishes this from more complex operations available in sibling tools.

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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