get_api_usage

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

With no annotations, the description carries the full burden, but it only adds the operational detail that it makes one API call. It does not explain whether the operation is read-only, what exact statistics are returned, or any authentication/rate-limit implications, or missing for a fully transparent description.

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 extremely concise and front-loaded: a single sentence states the operation, and the parenthetical cost note ('makes 1 API call') is meaningful, and no words are wasted.

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?

This is a simple, no-argument tool with clear purpose, but there is no output schema and no description of the return shape or exact use of 'usage statistics' (e.g., remaining quota, used calls, reset time). The one API call warning provides some context, but the description remains slightly skeletal.

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 0 parameters and 100% schema coverage, so there is no parameter documentation gap. Baseline for 0 params is 4; the description adds no param-related value because none is needed.

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 ('Get') with a clear resource ('API usage statistics'), clearly distinguishing it from sibling sports data tools like get_sports and get_upcoming_odds.

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?

It is obvious that this tool is for checking API usage, and the sibling tools are unrelated to usage statistics. However, the description does not provide explicit when-to-use guidance or mention any context/alternates/exclusions.

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