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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention that this is a network read, that it is non-mutating, or what the response contains beyond 'math trivia.' It adds very little beyond the name, apart from the word 'random.'

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 very short and front-loaded, which is good. However, it includes a useless '[COST: ]' placeholder that contributes no meaning, and this minor clutter prevents a perfect score.

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 has no parameters and appears to be a simple read-only fetch that returns trivia data, so the minimal description is arguably enough to call it. It lacks usage context and output details, but the output schema presumably fills in return-value information, making the description acceptable for a no-parameter simple tool.

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 tool has zero parameters, so the parameter burden is nil. The schema is fully covered by the fact that there are no properties, and the description does not need to explain what it does with parameters.

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 'Get random math trivia' clearly states the verb and resource, and the 'math' qualifier distinguishes it from sibling tools like get_date_trivia or get_year_trivia. However, it lacks any additional scoping or context about what kind of math trivia or source, so it stops just short of a full 5.

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 gives no guidance on when to prefer this tool over siblings such as get_trivia_question or get_math-related trivia tools. There are no prerequisites, use cases, or exclusions mentioned, so an agent has no way to choose it deliberately based on this text.

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