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Enhanced Grok Search MCP Server

by stat-guy

health_check

Verify the operational status and API connectivity of the Enhanced Grok Search MCP Server to ensure reliable search functionality.

Instructions

Check the health status of the Grok Search MCP server and API connectivity

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions checking 'health status' and 'API connectivity' but doesn't disclose behavioral traits like what specific metrics are returned, whether it performs active tests or passive checks, expected response format, or potential side effects. The description is functional but lacks operational transparency needed for informed tool selection.

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, efficient sentence that clearly communicates the core purpose without any wasted words. It's appropriately sized for a simple health check tool and front-loads the essential information. Every word earns its place in conveying what the tool does.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters, no output schema), the description is reasonably complete for understanding its basic purpose. However, without annotations or output schema, it doesn't provide enough information about what health data is returned or how to interpret results. For a diagnostic tool, users need more context about expected outputs and success/failure indicators.

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 description coverage, so the schema already fully documents the parameter situation. The description appropriately doesn't discuss parameters since none exist. It focuses correctly on the tool's purpose rather than attempting to describe non-existent inputs.

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 resource ('health status of the Grok Search MCP server and API connectivity'). It distinguishes itself from sibling tools like grok_search or grok_web_search by focusing on system health rather than data retrieval. However, it doesn't explicitly differentiate from all siblings (e.g., grok_news_search also involves checking/searching).

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. It doesn't mention scenarios like troubleshooting connectivity issues, verifying server availability before other operations, or whether it should be used proactively. With sibling tools focused on search functionality, there's no explicit comparison or exclusion criteria provided.

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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