get_ai_usage

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the topic ('usage and limits') without revealing what the tool returns, whether it is read-only, or any operational details.

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 brief, but it's a noun phrase fragment lacking a verb and doesn't stand as a complete sentence. Brevity sacrifices clarity, so this is under-specification rather than good conciseness.

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 annotations, no output schema, and no parameter definitions, the description should provide additional context about what 'usage and limits' includes (e.g., numeric values, scoping, or formatting). It leaves too many questions unanswered.

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 schema defines zero parameters, so the baseline is 4. The description doesn't need to explain parameters, but it also doesn't clarify that no parameters are expected, despite additionalProperties allowing arbitrary input.

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 'AI/translation usage and limits' identifies a resource but lacks a verb, so it doesn't clearly state the action. It is not a tautology because it adds specificity, but it doesn't distinguish the tool from siblings like get_analytics or get_ai_questions.

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 alternatives. The description provides no context for selecting it over related analytics or translation tools, and no exclusions are mentioned.

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