generate_lorem

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

Annotations already declare readOnlyHint=truehare, so the safety profile is clear. The description adds no behavioral context beyond what the schema already provides—such as whether output is random, cached, or deterministic. There is no contradiction, but no extra transparency credit is earned.

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, tightly worded sentence with the core action front-loaded. Every phrase contributes meaning, and there is no redundant filler or unnecessary qualification.

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 simple tool with no required parameters)Skip enhances completeness. The description, combined with the fully covered schema and readOnlyHint, is nearly sufficient. A minor gap is that it does not explicitly state the return type, though 'placeholder text' makes a string output obvious.

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 100%, so the parameters 'type' and 'count' are already fully documented. The description merely restates the valid values ('words', 'sentences', 'paragraphs') and the existence of a count, adding no new semantic detail.

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 and resource: 'Generate Lorem Ipsum placeholder text.' It also enumerates the output types (words, sentences, paragraphs), making it clearly distinct from sibling generators like generate_hash, generate_password, and generate_uuid, even without explicitly naming them.

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 choose this tool versus alternatives, and it does not mention exclusions, prerequisites, or context where a different tool would be better. The intended use case must be inferred entirely from the name and the phrase 'placeholder text.'

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