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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering safety. The description adds that the tool opens an interactive/visual view, which is useful context, but does not elaborate on what the user sees or how the view behaves. This is acceptable but not rich.

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?

Two concise sentences, with the core purpose front-loaded and the usage condition in the second sentence. Every word adds value; no redundancy or filler.

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 zero-parameter, read-only view tool with an output schema present, the description covers what the tool shows and when to use it. It could briefly contrast with get_quota_usage, but the core information an agent needs to select and invoke this tool correctly is present.

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, and the input schema is empty with 100% coverage. There is no parameter information needed, so the baseline of 4 applies; the description appropriately focuses on behavior instead of parameters.

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 states a specific action ('Open an interactive view') and a specific resource ('current account usage') with concrete details (daily/monthly post counts, channel counts, media storage). This clearly distinguishes it from the sibling get_quota_usage by emphasizing the visual/interactive nature.

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?

Explicitly states when to use the tool: 'when the user wants a visual view of their plan usage.' It does not name alternative tools or exclusions, but the visual cue and scope provide clear usage context relative to siblings like get_quota_usage.

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