lorem_ipsum

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

With no annotations, the description carries the burden of disclosing behavior. It states the tool generates placeholder text, which is non-destructive by nature, but it does not explicitly confirm read-only behavior or describe the output format (e.g., single string vs. array). The added context about suitability for mocks/fixtures is helpful but does not fully cover behavioral nuances.

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 exceptionally concise and front-loaded. 'Generate placeholder text' immediately states the action, followed by the key options and a use-case clause. No filler words or redundant details; every sentence earns its place.

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?

The tool is simple, but with no output schema and no annotations, the description must fully equip the agent. It covers purpose and main parameters, but omits the behavior of `start_with_lorem` and doesn't clarify the return structure (string, list, etc.). This leaves some ambiguity for correct invocation, so completeness is average.

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 schema description coverage is 0%, so the description must compensate. It explains `kind` and `count` via 'N paragraphs, sentences or words', but `start_with_lorem` is not mentioned at all. The description adds meaning for two of three parameters, leaving a notable gap for the boolean flag, which can affect the output.

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 that the tool generates placeholder text, and specifies the units (paragraphs, sentences, words) matching the `kind` parameter. It explicitly mentions 'lorem ipsum', distinguishing it from generic random generators like `random_gen`. The verb 'Generate' and resource 'placeholder text' are specific and unambiguous.

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 clear context for when to use the tool: 'Suitable for mocks, fixtures and test data.' This implies the intended scenarios but does not explicitly mention when not to use it or offer alternative tools. Since it gives concrete use cases without exclusions, it earns a 4.

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