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

Annotations already mark it read-only and closed-world, and the description adds that data is sourced from codex-reset.com rather than an official API and reflects current state. This third-party tracking detail is useful context for interpreting results; 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?

A single sentence front-loads the resource and purpose, and every clause earns its place. It is neither padded nor under-specified at the macro level.

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 status tool with one optional, fully documented parameter, the description covers source and intended use. It does not describe the exact status values or response shape, but no output schema exists and an agent can call the tool correctly from the provided information.

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, locale, is fully documented in the schema with its enum and default, so the description does not need to repeat it. Because schema coverage is 100%, baseline 3 is appropriate.

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 specifies the resource ('OpenAI Codex service state') and adds the purpose of distinguishing outage from usage limit, so an agent knows what this tool reports. It does not explicitly contrast with sibling tools get_reset_forecast/get_reset_timeline, but the stated purpose makes the resource clear.

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 phrase 'to tell an outage apart from a usage limit' provides a concrete when-to-use context without needing to open the schema. It does not name sibling alternatives or give a when-not-to-use rule, but the intended scenario is clear enough.

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