health
Check server status and version to monitor connectivity and diagnose network issues within the Keel MCP environment.
Instructions
Return server version and status.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check server status and version to monitor connectivity and diagnose network issues within the Keel MCP environment.
Return server version and status.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It states what the tool returns but doesn't disclose behavioral traits like whether it requires authentication, has rate limits, returns structured data, or if it's safe for frequent use. For a tool with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's front-loaded with the core purpose ('Return server version and status'), making it easy to parse. Every word earns its place, and there's no redundant or verbose phrasing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
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 annotations, no output schema), the description is minimally complete. It states what the tool does but lacks context on return format, error handling, or typical use cases. For a basic health check tool, this is adequate but leaves gaps an agent might need to infer.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 fully documents the lack of inputs. The description adds no parameter information, which is appropriate here. Baseline is 4 for zero parameters, as no compensation is needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
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 ('Return') and resource ('server version and status'). It distinguishes this from sibling tools like 'ping' or 'http_check' by focusing on server metadata rather than connectivity or performance testing. However, it doesn't explicitly differentiate from all siblings (e.g., 'check_ssl_cert' also returns status information).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 whether this is for monitoring, diagnostics, or initial setup, nor does it compare with siblings like 'ping' for basic connectivity or 'http_check' for web service status. The agent must infer usage from the purpose alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/seayniclabs/sounding'
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