health_check
Check the EVO API status to ensure it is operational and detect outages.
Instructions
Verifica o status da API EVO
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check the EVO API status to ensure it is operational and detect outages.
Verifica o status da API EVO
| 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 behavioral burden. It implies a read-only probe but never says what is checked, what a failure looks like, or whether the call has side effects or rate limits.
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 with no filler, front-loading the verb and the target resource. Nothing could be trimmed without losing meaning.
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 parameters, no annotations, and no output schema, the description is nearly the entire contract. It says what it checks but not what it returns (status codes, uptime, dependency checks), which an agent invoking a health endpoint would want.
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 takes zero parameters and the schema is empty, so there are no parameter semantics to document. Baseline 4 applies since nothing is missing on this dimension.
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?
States a specific verb ('Verifica') and resource ('status da API EVO'), so the agent knows this is a service-health probe. It is clearly distinguishable from every sibling, which all deal with member, activity, cart, or sales data. It lacks any further scope detail (e.g. which API surface), so it stops short of a 5.
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 call this tool, what a healthy vs unhealthy result implies, or how it relates to the other operations. For a diagnostic tool that is the point of the call, that omission matters.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.