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

With no annotations provided, the description carries the full burden. It discloses that the return includes an official URL and that enabling include_all_news adds recent regulation messages such as amended provisions and administrative rules. However, it does not describe pagination, ordering, authentication requirements, or the response structure, leaving some behavioral ambiguity.

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 two concise sentences, front-loading the main action, then the optional behavior, then the scope restriction. Every phrase adds information without 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 low-complexity tool with two optional parameters and no output schema, the description provides the core purpose, scope limitation, and optional behavior. It lacks response format details and limit semantics, but is sufficient for an agent to select and invoke the tool in most straightforward scenarios.

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 description coverage is 50%: only include_all_news has a schema description. The tool description adds useful meaning by enumerating examples of regulation news ('修正條文、行政規則發布等'), which clarifies include_all_news. However, it does not clarify how limit interacts with include_all_news or whether limit applies only to the draft list, so compensation for the coverage gap is only partial.

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 ('取得' / get) and a specific resource ('法務部主管法規系統的法規草案預告清單' / MOJ regulatory draft announcement list), notes the inclusion of official URLs, and optionally describes returning recent regulation news. It also explicitly scopes itself to the Ministry of Justice ('涵蓋範圍限法務部'), which clearly distinguishes it from sibling tools covering broader Taiwan legal content.

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 implies usage for MOJ-specific draft announcements and related regulation news through the scope statement '涵蓋範圍限法務部', giving clear context. However, it does not explicitly mention alternative tools or state when NOT to use this tool, so the guidance is more implied than explicit.

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