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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds that data comes from Wikipedia's On This Day feed, providing source transparency. No behavioral contradictions or additional traits like rate limits are disclosed, but for a read-only tool, this is sufficient.

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 two sentences long, front-loaded with the core functionality, followed by a use-case hint. Every sentence adds value, with no redundant or filler content.

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, focused tool with one optional parameter, rich annotations, and an output schema (not shown but acknowledged), the description covers purpose, source, and typical usage. No missing critical information for effective agent usage.

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 description coverage is 100% for the single parameter 'date', which already states format and default behavior. The description does not add any parameter-specific details beyond what the schema provides, so it meets the baseline without enhancement.

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 explicitly states the tool returns notable music events from history, listing specific examples (album releases, concerts, milestones, birthdays). It clearly distinguishes this from sibling tools like get_events (general events) and get_concerts (likely future concerts).

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 suggests use for on-air trivia, implying a suitable context. However, it does not explicitly compare to alternatives like get_events or get_concerts, nor provide when-not-to-use guidance. The use case is clear but lacks exclusion criteria.

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