get_auth_status

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

No annotations are provided, so the description carries the burden of telling the agent this is a non-mutating, read-only operation. The verb 'Check' and the noun 'status' clearly imply a query with no side effects. The phrase 'current' adds the notion of a point-in-time snapshot. While it doesn't explicitly state 'this does not modify anything', the semantics strongly convey a safe read operation, which is adequate for this kind of tool.

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?

One concise, front-loaded sentence effectively states the tool's purpose with no wasted words. Every part of the description adds value: the authentication subject, the status check, and the user account info. No irrelevant details are included.

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?

The tool is as simple as a 0-parameter auth-status check. The description covers what it does, and an output schema presumably defines the returned fields, so the description doesn't need to enumerate result semantics. The main gap is a lack of any note about whether authentication is required or how the tool behaves when unauthed, but for a status checker the completeness bar is generally low.

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 input schema is empty (0 parameters), so there are no parameter names or semantics for the description to clarify. Per the rubric, a zero-parameter tool receives a baseline of 4 because the description needs to do no parametric heavy lifting. The description accurately matches the schema.

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, 'Check', and a concrete resource, 'DeepLearning.AI authentication status and user account info'. It clearly distinguishes itself from the sibling tools, which all deal with courses, content, or syncing. An agent can tell immediately what this tool does and that it is the auth-oriented outlier among course-management siblings.

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 tool's role is apparent: it is the authentication status check among course tools. However, the description does not explicitly state when to invoke it, such as 'before making API calls' or 'to verify login state', nor does it mention when not to use it or alternatives. The usage guidance is only implied by the name and description, not stated.

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