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

Beyond the readOnlyHint/openWorldHint annotations, it discloses data provenance and freshness (merged from ticketing, sports and open-data feeds, refreshed every two hours) and what each result contains. It does not state result limits or failure modes, but the freshness/provenance detail is genuinely additive.

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 long but front-loaded: scope and ranking come first, then coverage, then sample queries, then result shape. Every sentence carries information, though the sample-question list is somewhat padded relative to the rest.

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?

With an output schema present, the description needn't explain return fields, yet it still summarizes result shape. Given 7 optional parameters and 100% schema coverage, the definition is complete enough for correct invocation; only explicit sibling routing is missing.

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%, so the baseline is 3, but the description adds meaning the schema does not: the score is defined as 0-100 from expected crowd and timing, and the ranking semantics of the two sort options are explained in prose. This enriches interpretation beyond the enum definitions.

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 names a specific verb (find) and resource (events) with scope clearly stated: city, country or worldwide, ranked by score or start time. It is easily distinguished from the siblings get_event (single lookup) and list_cities (enumeration).

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?

It gives concrete triggering questions ("what's on in Lisbon this weekend", "when are Arsenal at home"), which clarifies the intended query shapes. It does not explicitly say when to prefer get_event or list_cities instead, so routing to siblings is left to inference.

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