get_api_health

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the full burden. It states the tool checks health/statistics and implies a connectivity check, but it does not describe what the response contains or whether it may fail or be slow. This is a moderate gap for a simple parameterless tool.

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 two short sentences with no filler. The core action is front-loaded, and the use-case guidance earns its place by telling the agent when to call this 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?

For a parameterless health-check tool, the description is nearly complete: it states the purpose, the resource, and the practical use case. The only minor omission is a more concrete statement of the return payload, but no output schema exists and the simple nature of the tool reduces the impact of that gap.

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 there is no parameter ambiguity to clarify. The baseline for zero-parameter tools is 4, and the description correctly does not invent unnecessary parameter details.

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 uses a specific verb ('Check') and a clear resource ('OpenDota API service health/statistics'), immediately distinguishing it from the many data-query sibling tools. The name and description align perfectly, leaving no ambiguity about what the tool does.

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 phrase 'Useful to verify connectivity before deeper queries' gives clear situational guidance for when to call this tool. It does not mention alternatives, but none are needed because no sibling tool duplicates the health-check purpose.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.