v1loremipsum

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that the tool 'Returns' text, implying a read-only operation, but doesn't cover other important aspects like rate limits, authentication needs, error handling, or response format. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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 concise and front-loaded, consisting of two sentences that directly state the tool's function and source. There's no unnecessary information, and it efficiently communicates the core purpose without waste. However, it could be slightly more structured by explicitly mentioning key parameters or output details.

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 lack of annotations and output schema, the description is incomplete. It doesn't explain the return format (e.g., text structure, error responses), rate limits, or other behavioral traits needed for effective use. For a tool with 4 parameters and no structured output information, the description should provide more context to compensate.

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 description adds minimal parameter semantics beyond the input schema, which has 100% coverage. It implies parameters control the output ('one or more paragraphs'), but doesn't explain how parameters like 'max_length' or 'random' affect the result. With high schema coverage, the baseline is 3, as the schema already documents parameters well.

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 clearly states the tool's purpose: 'Returns one or more paragraphs of lorem ipsum placeholder text.' It specifies the verb ('Returns') and resource ('lorem ipsum placeholder text'), and mentions the API source ('API Ninjas Lorem Ipsum API endpoint'). However, since there are no sibling tools, it doesn't need to differentiate from alternatives, so it doesn't reach the highest score.

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, prerequisites, or specific contexts. It simply states what the tool does without indicating appropriate scenarios or limitations. This lack of usage context reduces its helpfulness for an AI agent.

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