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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, yet the description adds substantial context beyond them: data comes from the publisher's JSON feed rather than scraping, responses carry source and license state, times are wall-clock strings with UTC offset and are never converted, and cancelled events are returned and marked rather than hidden. That is exactly the kind of return-behavior disclosure annotations cannot carry.

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?

Purpose is front-loaded, but the provenance point is stated twice ('every response says so' and 'Every response names the City of Long Beach as its source') and the sentence about the license state is vague. Several sentences earn their place (time format, cancelled events), yet the redundant provenance claims dilute it.

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 no output schema, the description carries the return-value burden and does well: it covers provenance, license, time encoding and cancelled-event handling, plus explicit coverage limits. It stops short of describing the response's overall shape or how limit/days interact with the returned set, which keeps it from a 5.

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% and all four parameters (days, limit, search, department) are documented with ranges and defaults in the schema itself. The description adds no parameter-level detail such as search semantics or department naming conventions, so the baseline 3 applies.

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?

States a specific verb+resource ('Upcoming public events run by the City of Long Beach') and enumerates the event categories covered, so an agent knows exactly what domain this serves. It never names or contrasts against siblings such as events_list or events_whats_on, so the differentiation is left to inference from the city scope.

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 closing 'Coverage today: the City of Long Beach public events calendar, one publisher' implies when the tool is applicable, but there is no explicit when-to-use/when-not statement and no alternative named for non-city events. Usage is implied rather than guided.

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