get_insights_usage

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

With no annotations, the description carries the entire behavioral burden and supplies nothing: no auth requirements, no rate limits, no indication of whether it reads or mutates, nor any note about the default timeframe behavior. The single sentence is purely a name restatement.

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 sentence is short and front-loaded, but its brevity reflects under-specification rather than efficiency — every sentence here fails to earn its place because it conveys no actionable information beyond the name.

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?

Although an output schema exists (so return values need not be described), the description leaves the two parameters undefined, provides no usage context, and supplies nothing to offset the absent annotations. For a tool with an ambiguous 'alias' identity, this is inadequate.

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?

Schema description coverage is 0% and the description says nothing about the two parameters. It gives no hint at valid timeframe formats ('7d' default) or what model_id accepts, so an agent must guess both.

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 ('Alias for insights-backed usage analytics') essentially restates the tool name without stating what the tool actually does or what it returns. It names no specific verb or scope, and gives no basis for distinguishing it from siblings like get_model_performance_metrics or query_vibe_proxy.

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 when-to-use guidance, no exclusions, and no named alternative. Calling it an 'alias' hints that another tool provides the same functionality, but the description never identifies that tool, so an agent has no way to decide between them.

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