test_tool
Verify MCP server health with a simple test call. Confirms that the server is running and responsive.
Instructions
Test function for checking MCP server health.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Verify MCP server health with a simple test call. Confirms that the server is running and responsive.
Test function for checking MCP server health.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only says 'test function for checking health' and does not disclose whether the call is read-only, what it returns, or whether there are side effects. Minimal disclosure, but it is not misleading.
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?
A single short sentence that is front-loaded and free of filler. Every word contributes to the purpose.
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?
For a zero-parameter health check, the description is mostly sufficient, but because there is no output schema, it does not tell the agent what response to expect (e.g., status, OK, error). A sentence about the return value would make it complete.
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 zero parameters and an empty schema, so parameter semantics are trivially satisfied. The description adds no parameter details, but none are 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 states a specific purpose: checking MCP server health. It is clearly distinct from the sibling task-management tools, so an agent can route to it without ambiguity.
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?
Usage is implied rather than explicit: the description names the health-check purpose, and siblings are all task CRUD operations, making the use case obvious. However, it gives no explicit when-to-use or when-not-to-use guidance.
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/feodal01/task-tracker-mcp'
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