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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds meaningful behavioral context beyond that: it requires signing in with a LuxAlgo account via OAuth, which is important for an agent to communicate or handle correctly. No contradiction with annotations.

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?

Three sentences with no filler: it states what the tool returns, when to use it, and the auth prerequisite. The most important 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?

For a simple read-only account-info tool, the description provides the resource scope, example data categories, use cases, and auth requirement. There is no output schema, but the description's list of plan tier, entitlements, and profile basics gives a reasonable sense of what to expect. It could mention return format, but that is not critical for this tool.

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 100%, and the only parameter, context, has a detailed description in the schema. The tool description does not add parameter-level meaning beyond the schema, so the baseline score of 3 applies.

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 clearly identifies the resource (the signed-in user's LuxAlgo account) and lists its contents: plan tier, entitlements, and profile basics. It also states concrete use cases, though it reads more as a noun-phrase description than a verb-led action, and it does not explicitly contrast with the sibling tools (which are mostly unrelated data or library tools).

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 explicitly says to use this tool to tailor answers to plan limits or when the user asks what plan they are on. This gives clear context for when to invoke it, although it does not discuss exclusions or alternatives—likely unnecessary given the sibling set.

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