apilatency_status
Checks the health of the API Latency MCP server to confirm it is ready for measuring and comparing endpoint response times.
Instructions
Health check for API Latency MCP.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Checks the health of the API Latency MCP server to confirm it is ready for measuring and comparing endpoint response times.
Health check for API Latency MCP.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Health check' suggests a read-only operation, but it does not disclose the return format, any error states, or whether it triggers any side effects. The agent is left without a clear picture of what calling this tool does.
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 short sentence with no filler or redundant phrasing. It is front-loaded and concise, which is appropriate for a zero-parameter tool. However, the brevity borders on under-specification, but that is penalized in other dimensions.
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?
With no output schema and no annotations, the description must explain what a 'health check' returns and how to interpret it. It does not. The agent cannot anticipate whether the result is a status code, a message, a latency measurement, or something else. The description is incomplete for the actual use of the tool.
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, which is 100% covered. The description does not add parameter semantics because there are no parameters to describe. The baseline for zero parameters is 4, and the description does not mislead; it simply omits information that is not relevant.
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 'Health check for API Latency MCP' – it identifies a resource ('API Latency MCP') and implies an action ('health check'), but does not specify what the health check verifies or returns. It is not a tautology but is vague and does not differentiate from siblings 'probe' and 'compare'.
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?
There is no guidance on when to use this tool versus its siblings. The description does not mention any conditions, alternatives, or exclusion criteria. An agent has no way to decide between apilatency_status, apilatency_probe, and apilatency_compare based on the description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.