get_users

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

The description mentions the data is simulated (模拟数据), adding behavioral context beyond a simple list retrieval. However, with no annotations, it does not disclose potential limits, pagination, or return format, which is acceptable for a simple tool but not exhaustive.

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, efficient sentence that conveys the purpose and key context (test platform, simulated data). No unnecessary words.

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?

Given the tool has zero parameters and an output schema, the description adequately states its function and data nature. It could optionally mention relation to other JSONPlaceholder tools, but not essential for completeness.

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?

There are no parameters, so the description does not need to add meaning beyond the schema. Baseline score of 4 is appropriate as schema coverage is 100% and no parameter documentation is required.

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 explicitly states the action ('获取' = get) and the resource ('用户列表' = user list) from a specific platform ('JSONPlaceholder 测试平台'), clearly distinguishing it from generic user list tools. It adds context of simulated data.

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 provides no guidance on when to use this tool versus alternatives like get_posts or search_books. No exclusion criteria or context-dependent recommendations are given.

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