get_event
Get full details for one StungEvents event by its slug (from search_events results), including venue, date, price and ticket link.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Event slug |
Get full details for one StungEvents event by its slug (from search_events results), including venue, date, price and ticket link.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Event slug |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, but the description discloses output contents (venue, date, price, ticket link) and implies a read-only operation; no contradictions or missing critical traits for a simple read 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?
Single sentence with no redundancy, front-loaded with action and result, efficient and clear.
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?
Given low complexity, single parameter, no output schema, and clear annotation-independent description, it fully covers what is needed for correct tool 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 coverage is 100% with single parameter slug. Description adds value by specifying the slug originates from search_events, beyond the schema description.
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?
Clearly states the tool gets full details for one event by slug, listing included fields (venue, date, price, ticket link). Distinguishes from sibling search_events by specifying input comes from its results.
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?
Explicitly says slug comes from search_events results, indicating the tool is used after searching, providing clear when-to-use context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: demand_artist registers demand, demand_leaders shows leaderboard, get_event fetches details, list_news provides news, plan_my_night plans outings, search_events searches events. No overlap.
All tool names follow a verb_noun pattern (e.g., demand_artist, search_events), with minor variation like plan_my_night still adhering to the pattern. Consistent and predictable.
With 6 tools, the server is well-scoped for its purpose—enough to cover key functionalities without overwhelming or being too sparse.
Covers core event discovery, demand, details, news, and planning. Missing direct listing of venues or artists, but the set is functional for typical queries.