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

Annotations already cover the safety profile (readOnly, non-destructive, idempotent). The description adds useful context: words are everyday nouns, non-repeating, and returned as a list. However, it doesn't clarify whether 'no repeats' is per call or across calls, and the idempotentHint is questionable for a random generator.

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?

Three short sentences, front-loaded with the outcome, followed by return format and source. No filler or repetition of the schema.

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 description, schema, annotations, and output schema together fully cover this low-complexity tool. The only minor gap is the ambiguity of 'no repeats' across calls, but the output schema likely resolves the return structure.

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 only parameter 'quantity' is fully described in the schema (100% coverage), so the description doesn't need to add much. It correctly implies the output size scales with quantity but adds no new parameter details.

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?

States a specific verb ('Generate'), a concrete resource ('random everyday English nouns'), and the key constraint ('no repeats'). This clearly distinguishes it from sibling generators like random_letter_generator and random_number_generator.

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 intended use is implied by the domain ('everyday English nouns'), but the description never explicitly says when to prefer this over sibling random generators or provides exclusions. An agent must infer selection from the name and resource type.

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