health_check
Check API health.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check API health.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full responsibility for behavioral disclosure. It only states 'Check API health' without indicating what the check involves, what response format is expected, or potential side effects.
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, direct sentence that efficiently conveys the tool's purpose. No wasted words, and the structure is appropriate for such a simple tool.
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 any description of return values or evaluation criteria leaves the agent without critical context. It is unclear what a 'health check' returns or what constitutes healthy status.
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, so the baseline is 4. The description does not need to explain parameters, and the empty schema fully covers this aspect.
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 verb 'check' plus resource 'API health' clearly states the tool's function. It distinguishes itself from sibling prompt-analysis tools, though it could be more specific about which API and what 'health' entails.
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?
No guidance is provided on when to use this tool or alternatives. The description does not mention prerequisites or exclusions, leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: analyze diagnoses, optimize modifies, compare selects between two, estimate counts tokens, and health checks API status. No two tools overlap in function.
All tool names follow a consistent verb_noun pattern with snake_case, making the API predictable and easy to navigate.
Five tools is well-scoped for a prompt optimization server, covering essential operations without redundancy or unnecessary bloat.
The set covers the full lifecycle of prompt optimization: analysis, optimization, comparison, token estimation, and health checks. No significant gaps are apparent for the stated purpose.