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

Annotations already declare readOnly, idempotent, non-destructive behavior, so the description need not restate safety. It adds valuable context beyond annotations: the data comes from OpenAI's official status page, it is real-time, and each call costs 1 credit — the cost note is especially useful for an agent deciding whether to re-poll.

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, front-loaded with the core action and followed by data scope, use cases, and cost. Slight redundancy between the first two sentences ('status of...' and 'Monitor real-time availability...'), but nothing wasteful enough to penalize heavily.

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 lookup with annotations covering the behavioral profile, the description supplies what is needed: what services are covered, where the data originates, when to call it, and the credit cost. The absence of an output schema means a hint about what is returned (availability states, incidents) would be a marginal improvement.

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 takes zero parameters, which is the baseline 4. There is nothing parameter-related to explain, and the description correctly does not invent input options.

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?

States a specific verb ('Check') and resource (status of ChatGPT, OpenAI API, Labs), and names the exact scope of what is monitored. Among many sibling status tools (anthropic_claude_status, github_status, cloudflare_status), the OpenAI service naming makes the target unambiguous.

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?

Gives concrete trigger conditions: slow responses, login failures, API errors. It does not name an alternative tool or state when not to use it, but the conditions are specific enough to select the tool confidently.

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