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 discloses that results include upcoming-event counts and browse URLs, adding useful context. However, it does not mention pagination, sorting, or whether categories with zero events are included, which are minor gaps for a read-only list 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?

A single, front-loaded sentence delivers all key information without redundancy. Every phrase earns its place: action, resource, examples, and output details.

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 zero-parameter, read-only list tool with no output schema, the description is fully complete. It explains what is returned and gives examples, and the siblings are clearly distinct, so an agent can decide to invoke it without further context.

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 input schema has no parameters, so the baseline for parameter semantics is 4. The description further clarifies the output structure (categories with counts and URLs), which is helpful when no parameters exist.

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 clearly states the action ('List') and resource ('event categories'), provides concrete examples (sports, concerts, theatre), and mentions included data (upcoming-event counts, browse URLs). This effectively distinguishes it from sibling tools such as get_city_events or search_events.

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 context is very clear: the tool is for retrieving a high-level category index. It does not explicitly mention alternatives or exclusions, but the description itself implies a straightforward use case, and sibling tool names suggest different purposes. There is no misleading guidance.

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