get_me

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

With no annotations provided, the description carries the burden of behavioral disclosure. It identifies a read-only get operation and adds the auth-health-check context, but it does not explicitly state that no state changes are made or describe what an unsuccessful response would look like. These gaps are minor for such a simple tool but still present.

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 a single sentence that front-loads the operation and resource, then adds a practical use case. Every word earns its place; there is no ambiguity, 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 parameterless, read-only tool with no output schema, the description adequately covers what the tool does and when it should be used. It does not describe the return shape in detail, but the phrase 'account identity' provides enough expectation for an agent, and the auth-health-check framing makes the tool's purpose fully actionable.

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, so the baseline is 4 per the rubric. There is no parameter information to explain, and the description does not invent any. It correctly focuses on the return value and use case rather than 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 names a specific verb (Get), a clear resource (authenticated caller's account identity), and a concrete use case (auth health check). It is immediately distinguishable from siblings like get_usage or list_api_keys because it targets the caller's own identity rather than usage data or API keys.

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 notes the tool is useful as an auth health check, giving the agent a clear context for when to invoke it. It does not explicitly mention exclusions or alternatives, but none of the sibling tools serve this same purpose, so the implicit differentiation is sufficient.

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