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djm81

Log Analyzer MCP

by djm81
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

ping

Check if the Log Analyzer MCP server is running and responsive to verify connectivity for log analysis operations.

Instructions

Check if the MCP server is alive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • src/log_analyzer_mcp/log_analyzer_mcp_server.py:417-422 (handler)
    The 'ping' tool handler: an async function decorated with @mcp.tool() that logs a debug message and returns a formatted string indicating server status and current timestamp.
    @mcp.tool()
async def ping() -> str:
    """Check if the MCP server is alive."""
    logger.debug("ping called")
    return f"Status: ok\n" f"Timestamp: {datetime.now().isoformat()}\n" f"Message: Log Analyzer MCP Server is running"
  • src/log_analyzer_mcp/log_analyzer_mcp_server.py:417-417 (registration)
    The @mcp.tool() decorator on the ping function registers it as an MCP tool in the FastMCP server instance.
    @mcp.tool()

Tool Definition Quality

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries full burden. It clearly indicates a read-only check operation ('Check if... is alive') which implies non-destructive behavior, but doesn't specify what 'alive' means (e.g., network reachability, service responsiveness), response format, or timeout behavior. It meets minimum requirements but lacks operational details.

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 a single, perfectly focused sentence with zero wasted words. It immediately communicates the core function without any unnecessary elaboration, making it optimally concise for such a simple tool.

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 tool with an output schema (which handles return value documentation), the description provides adequate context about what the tool does. The main gap is lack of differentiation from sibling tools that might serve similar diagnostic purposes, but overall it's reasonably complete for this complexity level.

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?

With 0 parameters and 100% schema description coverage, the baseline is 4. The description appropriately doesn't discuss parameters since none exist, and the schema already fully documents the empty input structure.

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 clearly states the tool's purpose with a specific verb ('Check') and target ('MCP server'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_server_env_details' which might also provide server status information, preventing a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With sibling tools like 'get_server_env_details' that might offer more detailed server information, there's no indication whether 'ping' should be used for simple liveness checks or as a preliminary diagnostic step.

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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