usage_overview

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

With no annotations, the description carries the burden, and it discloses meaningful behavioral details: the data is for the JWT-authenticated current user, the time range is UTC-based, and the requests summary excludes certain endpoint categories. It does not describe the response structure or error behavior, but for a read-only overview tool these gaps are relatively minor.

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 three sentences with no filler. The first sentence states the purpose, the second specifies the contents, and the third clarifies an important scope boundary. Information is front-loaded and every sentence earns its place.

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 there is no output schema and no annotations, the description covers the essential invocation context: what is returned, whose data it is, the UTC time range semantics, and a key data-scope limitation. It stops short of fully describing the response shape, but the overview-level summary is sufficient for an agent to call it correctly.

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 coverage is 100%—all three parameters (range, from, to) already have descriptive text. The description adds only the general context that these select a 'UTC time range', which slightly reinforces the schema but does not add substantive syntax or format detail beyond it. Baseline 3 is appropriate.

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') and identifies a clear resource ('current user's usage overview'), then details what is returned: a current billing snapshot plus recent request and credit consumption metrics. It also differentiates from the many usage_* siblings by explicitly scoping the request traffic to product API endpoints, excluding console, billing, usage, and user-management endpoints.

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 description provides clear context for when to use this tool: to retrieve the authenticated user's billing snapshot and usage metrics over a selected UTC time range. It does not explicitly name alternative tools or when-not-to-use conditions, so it stops short of a 5, but the use case is clearly stated rather than merely implied.

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