ping
Check server health by sending a request to confirm the MCP server is responsive and operational.
Instructions
Checks server health
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ping | Yes | Example value: ping |
Check server health by sending a request to confirm the MCP server is responsive and operational.
Checks server health
| Name | Required | Description | Default |
|---|---|---|---|
| ping | Yes | Example value: ping |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavior. It states 'checks server health' but doesn't explicitly confirm it's a read-only operation, describe the response format (e.g., success/failure indicators), or mention any side effects or requirements. The description is too sparse to inform the agent about expectations.
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 three-word sentence, 'Checks server health', with no unnecessary words. It is extremely concise and front-loaded, earning full marks for brevity.
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?
Despite the tool's simplicity, the absence of an output schema and annotations leaves return values and behavioral context unspecified. The description doesn't explain what a healthy response looks like or how to handle errors, making it incomplete for an agent to invoke confidently.
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 input schema has 100% description coverage, as the 'ping' parameter includes 'Example value: ping', which is a syntax example rather than semantic meaning. The tool description adds no parameter context beyond the schema, so baseline 3 is appropriate.
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 uses a specific verb 'checks' and resource 'server health' to clearly state the tool's function. However, it doesn't differentiate from sibling tool 'ping_1' or explain variations, so it's clear but not fully distinguishing.
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 like 'ping_1' or other sibling tools. No context, prerequisites, or exclusions are mentioned, leaving the agent to infer applicability.
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/BACH-AI-Tools/bachai-linkedin-sales-navigator-no-cookies-required'
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