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

With no annotations provided, the description carries the transparency burden and does reveal a key behavioral fact: no authentication is required. It also makes clear the tool is informational (returns details) and intended as an entry point, which gives useful context beyond the schema.

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 front-loaded with the core purpose and then enumerates specific content areas. Bilingual repetition doubles the length, but each language block is compact and information-dense, so the structure is still efficient.

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 optional-parameter tool with no output schema, the description is complete: it explains what will be returned, that no authentication is needed, and when an agent should call it. No critical behavioral or usage gaps remain.

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 only parameter, lang, is already fully described in the schema with an enum and default value ('Default en.'), so schema coverage is high. The description adds no additional meaning about this parameter, matching the baseline for well-covered schema 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 clearly states the tool's function: it returns onboarding and pricing information including sign-up flow, API key issuance, free allowance, credit-pack prices, and checkout links. It also distinguishes itself from siblings like get_account by positioning itself as the first-stop tool for newly arriving agents.

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 explicitly says it is callable without authentication and that first-time AI agents should call it to learn how to obtain access. It provides clear context for when to use the tool, though it does not explicitly mention alternatives or when-not-to-use scenarios.

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