demand_leaders
Get the StungEvents demand leaderboard — the most-demanded artists and cities right now, and which artists are growing fastest.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get the StungEvents demand leaderboard — the most-demanded artists and cities right now, and which artists are growing fastest.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden for behavioral disclosure. It does not mention data freshness, pagination, authentication, or side effects, though the tool is simple and read-only.
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 a single clear sentence that front-loads the main purpose. Every part adds value with no wasted words.
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 no parameters, no output schema, and a straightforward purpose, the description covers the essential return values. It could mention update frequency or scope, but it is largely sufficient.
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?
There are no parameters, so the description naturally does not need to explain them. A baseline score of 4 is appropriate for a zero-parameter tool.
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 it retrieves a demand leaderboard with specific contents: most-demanded artists and cities, and fastest-growing artists. It distinguishes from sibling tools like 'demand_artist' (likely for a single artist) and 'search_events' (searching 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 description implies usage for demand trends but provides no explicit guidance on when to use or not use this tool versus alternatives, nor any prerequisites or 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.