health_check
Check the health status of the ai-agent-logs API to confirm it is running and responsive.
Instructions
Check ai-agent-logs-api health (GET /health).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check the health status of the ai-agent-logs API to confirm it is running and responsive.
Check ai-agent-logs-api health (GET /health).
| 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 the full burden. It discloses the HTTP method (GET), implying a read-only, side-effect-free operation. However, it does not mention response format, potential error behavior, or rate limits. For a simple health check this is adequate, but not exhaustive.
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, tightly-written sentence that conveys the purpose and exact endpoint without any fluff. Every word earns its place, and the description is appropriately front-loaded with the action.
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?
The tool is extremely simple: no parameters, no output schema, and no annotations. The description states the action and endpoint, which is largely sufficient for an agent to call it. The only slight gap is that it does not specify the response content (e.g., status body), but for a health check this is a minor omission and the expected behavior is well understood.
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 the schema coverage is 100% (trivially). Per the rubric, a zero-parameter tool earns a baseline of 4. The description adds no parameter information because none 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 states a specific verb and resource: 'Check ai-agent-logs-api health' and includes the exact HTTP endpoint (GET /health). This clearly distinguishes it from sibling tools like login or list_prompts, which serve entirely different purposes.
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 implies this tool is for verifying service health, which is useful context. However, it does not explicitly state when to use it versus other tools, nor does it mention any prerequisites or exclusions. The usage is implied rather than clearly spelled out.
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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