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list_events

Upcoming public Golden Flame events in Cologne (Köln) with date, time, venue, age limit, dress code, price and ticket link. Anstehende Golden-Flame-Events in Köln mit Datum, Ort, Alter, Dresscode, Preis und Ticket-Link.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_events"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that only public, upcoming events are returned and that a ticket link is included, which is real context. However, it says nothing about result limits, ordering, caching/freshness, or whether an empty result is possible.

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?

The English sentence is front-loaded and efficient, but the identical German restatement doubles the length without adding information for an agent that already parsed the first sentence. Structure is fine; conciseness is weakened by the duplication.

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?

For a no-parameter tool with no output schema, the description does the needed work by enumerating the fields a caller will receive. The main missing piece is volume/ordering behavior, which an agent might want before rendering a list.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline is 4; there is no parameter semantics to clarify. The description sensibly spends its words on the returned fields instead.

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?

The description names a specific resource and scope: upcoming public Golden Flame events in Cologne, and enumerates the fields returned (date, time, venue, age limit, dress code, price, ticket link). This distinguishes it from get_event (single event) and get_tickets. It stops short of explicitly contrasting itself with search, but the resource is unambiguous.

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: an agent can infer this is the tool for browsing upcoming events. There is no statement of when to prefer it over search or get_event, no exclusions, and no note that it takes no parameters (fixed scope). Adequate but with a clear gap.

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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