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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, and idempotentHint=true, so the safety profile is fully covered. The description adds only the word-of-the-day framing. It does not disclose whether results may repeat across calls or how entries are sampled, which is relevant for a randomness-based tool.

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?

It is a single front-loaded sentence with no filler, and the core capability comes first. It errs slightly toward brevity, leaving the parenthetical to do the contextual work.

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?

This is a simple one-parameter read tool with full annotations, so little is required. Still, with no output schema, the description does not indicate what an entry contains (headword, definitions, part of speech), leaving the return shape unspecified.

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%, and the single `count` parameter already documents its default and max of 20. The description does not mention batching at all, so it adds no meaning beyond the schema. Baseline 3 is appropriate when the schema carries the parameter semantics.

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: "Get random KBBI dictionary entries." The word "random" implicitly distinguishes it from kbbi_search and kbbi_word_get, though it never names them. An agent can tell what it returns, but sibling differentiation is only inferable.

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 parenthetical "useful for word-of-the-day features" gives one concrete usage context. However, there is no guidance on when to prefer this over kbbi_search or kbbi_word_get, and no exclusions or rate/usage limits are stated.

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