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Queenstown Tourism

get_entity

List every reviewed fact we hold on one activity, walk, route, place or facility, grouped by topic, each with its source and the date it was last confirmed.

Input Schema

NameRequiredDescriptionDefault
nameYesFor example "Routeburn Track", "Te Anau" or "Shotover Jet"
topicNoOptional: only this topic

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?

No annotations are supplied, so the description carries the full burden. It does disclose meaningful behavior: results are grouped by topic and each fact carries its source and a last-confirmed date, which tells the agent the data is curated and dated. It omits what happens when the entity is unknown or has no reviewed facts, and says nothing about result volume or permissions.

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

Conciseness4/5

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

A single front-loaded sentence with the verb and resource first and the output shape trailing. Dense but every clause (grouped by topic, source, date confirmed) conveys information an agent needs. Slightly clause-heavy, but no filler.

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 responsibly describes the return shape: facts grouped by topic, each with source and confirmation date. It covers the two-parameter tool adequately, with the only real gap being empty-result and volume behavior.

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% and the enum of topics is fully enumerated, so the schema already does the heavy lifting. The description adds only the notion of grouping by topic, which loosely connects to the optional topic filter but does not explain its filtering semantics. 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?

States a specific verb and resource: 'List every reviewed fact we hold on one activity, walk, route, place or facility'. The scope of entity types is explicit and the 'reviewed fact' framing distinguishes it from raw search tools. It does not, however, name a sibling such as get_experience or get_venue to clarify which entity-level tool an agent should pick.

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 pulling curated facts about a named place or activity. There is no explicit when-to-use or when-not guidance, and no routing toward alternatives like get_experience, get_route or get_answer that likely overlap for the same named entities.

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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