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

No annotations are provided, so the description carries the full behavioral burden. It usefully enumerates the returned payload (status, dates, days remaining, replacement, source), but says nothing about behavior for an unknown/retired ID, whether results are cached, or how it sources data over time.

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 front-loaded sentence with a bracketed category tag, then the resource and returned fields. No filler; the only slight cost is the packed enumeration of return fields.

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?

With no output schema and no annotations, the description must explain what comes back, and it does enumerate the key returned fields. It is largely complete for a simple read-only lookup, with minor gaps around error handling for unknown IDs.

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?

Schema coverage is 0% and there is one required parameter, so the description must compensate. It does so by giving three concrete ID examples (gpt-4o-2024-05-13, claude-3-5-haiku-20241022, gemini-2.0-flash), which convey the expected ID format the bare schema lacks. It does not clarify case sensitivity or where to obtain valid IDs.

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 states a specific verb+resource: look up a SINGLE model ID for status, deprecation date, shutdown date, days remaining, recommended replacement, and source. '單一' (single) implicitly distinguishes it from list-oriented siblings like models__list_ai_models and models__upcoming_ai_model_shutdowns, though no sibling is named outright.

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?

Usage is only implied by '查單一模型 ID' (look up a single model ID), which suggests this is the per-model view rather than a calendar/list view. There is no explicit when-to-use, when-not-to-use, or named alternative pointing to ai_model_shutdown_calendar or list_ai_models.

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