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Dance event details

get_event_details
Read-onlyIdempotent

Full public details of one dance event on udansa: title and description in the requested language, category, styles, start and end with time zone, venue, organizer (null for events curated by udansa), artists, programme, ticket categories with price and remaining tickets, add-ons, free places, series (next date), waitlist and whether tickets can be bought on udansa (booking.reason says why not, booking.tickets where tickets are instead - udansa gives no external ticket links). Link: url.

Input Schema

NameRequiredDescriptionDefault
idYesEvent id, as returned by search_dance_events.
languageNoTwo-letter language code for translated texts and the page link.de

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observed

TDQS

A3.6/5.0
Behavior4/5

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

The annotations already cover the read-only and idempotent profile, but the description adds genuinely non-obvious behavior: organizer is null for udansa-curated events, booking.reason explains why purchase is unavailable, and udansa supplies no external ticket links. Those are exactly the runtime surprises an agent would otherwise misread.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is front-loaded correctly, but everything after the colon is one unbroken run-on enumeration of return fields with no grouping. Since there is no output schema the enumeration carries real information, yet the wall-of-text form makes it hard to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must disclose what comes back, and it does so comprehensively: venue, organizer, artists, programme, ticket categories with price and remaining count, add-ons, series, waitlist, and booking. What is missing is only shape-level detail, which the flat sentence cannot convey anyway.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so both parameters are already documented, including the default 'de' language and the id source. The description only echoes the language behavior ('title and description in the requested language') and adds nothing about format, fallback, or invalid ids, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Opens with a specific verb-plus-resource: 'Full public details of one dance event on udansa'. The word 'one' implicitly separates it from the sibling search_dance_events, but the description never names that sibling, so an agent must rely on the schema note to see the routing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the reader infers this is the detail follow-up to a search result because the schema says the id comes from search_dance_events. There is no explicit 'use this after searching' or 'do not use to list/browse events' statement in the description itself.

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

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