health_check
Server health, data stats (pools/chains/protocols), API status, tool list, pricing.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Server health, data stats (pools/chains/protocols), API status, tool list, pricing.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / additionalPropertiesAdded value: +falseDoes the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of explaining behavior. It does disclose the output categories (health, stats, status, tool list, pricing), but it never states that the operation is read-only or free of side effects. The name implies a safe health check, but the description could be more explicit.
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 entire description is a single, well-packed sentence. Every listed item (server health, data stats, API status, tool list, pricing) provides distinct useful information without superfluous wording. It is front-loaded and to the point.
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?
Given that there are no parameters, no annotations, and no output schema, the description covers the main response categories adequately in a compact way. It doesn't mention the actual data format or any error conditions, but for a simple health-check endpoint, the description is reasonably 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, so the description doesn't need to explain parameters. It adds context by describing what the response will contain, which is helpful in the absence of an output schema. The baseline for zero-parameter tools is 4, and the description meets that.
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 clearly lists the resources covered (server health, data stats, API status, tool list, pricing), which is specific enough to understand the tool's scope. It lacks a strong verb like 'retrieve' or 'get', but it does distinguish itself from the yield-focused sibling tools by focusing on system-level metadata.
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 explicit guidance on when to use this tool versus alternatives. While the siblings are yield-related and clearly different, the description doesn't state that this should be used to check API status before running other tools, or similar use cases.
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.