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List public events

list_public_events
Read-onlyIdempotent

Upcoming public events at the château (concerts, workshops, themed nights…) with dates, price per participant, optional dormitory bed, remaining places and a booking URL. These are separate from hotel rooms.

Input Schema

NameRequiredDescriptionDefault
categoryNoOptional filter, e.g. cuisine, dj-dance, gaming-lan, kpop…
from_dateNoOnly events ending on/after this date. Defaults to today.

Output Schema

NameRequiredDescriptionDefault
noteNo
countYes
eventsYes
from_dateNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare this as a safe, read-only, idempotent operation, so the description only needs supplemental context. It adds that results include dates, price, optional dormitory bed, remaining places, and a booking URL, but does not discuss permissions, rate limits, or other operational behavior.

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

Conciseness5/5

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

The description is two compact sentences, front-loads the resource and scope, and uses a short parenthetical to clarify event types. It contains no redundant or wasted text.

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

Completeness5/5

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

Given rich annotations, 100% schema coverage, and an output schema, the description provides everything needed to select the tool: what it returns, its event focus, and its separation from hotel-room tools. No important behavioral gap remains for an agent to call it correctly.

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 description coverage is 100%, so the schema already fully documents both optional parameters. The description does not add filter syntax or date semantics beyond what the schema provides, making the baseline 3 appropriate.

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

Purpose5/5

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

The description names the specific resource and scope: upcoming public events at the château, with examples and return fields. It also explicitly distinguishes these events from hotel rooms, which separates it from the sibling availability and hotel-info tools.

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

Usage Guidelines4/5

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

The sentence 'These are separate from hotel rooms' gives clear context for when this tool applies rather than room or hotel queries. It does not explicitly name the sibling tools or state when-not conditions, so it stops short of a 5.

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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