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datasets_numbeo_cities_facets

Get country-level aggregation counts from Numbeo cities data. Filter by crime, safety, pollution, cost of living, and quality of life indices to analyze city statistics.

Instructions

Facet the Numbeo cities dataset. Returns terms aggregation counts for the Numbeo cities dataset. Facet enum: country.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFull-text query over the city name, max 256 characters
facetYesFacet enum: country
countryNoExact country filter, max 128 characters
max_crime_indexNoMaximum Crime Index
min_crime_indexNoMinimum Crime Index
min_safety_indexNoMinimum Safety Index
max_traffic_indexNoMaximum Traffic Index
max_pollution_indexNoMaximum Pollution Index
min_health_care_indexNoMinimum Health Care Index
max_cost_of_living_indexNoMaximum Cost of Living Index (New York = 100)
min_cost_of_living_indexNoMinimum Cost of Living Index (New York = 100)
min_quality_of_life_indexNoMinimum Quality of Life Index
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It states returns 'terms aggregation counts' but does not explain how filter parameters (q, country, min/max indices) interact with the facet, pagination, or output structure. Critical behavioral details are missing.

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?

Two sentences, no wasted words. Efficiently communicates the core function and the facet enum.

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

Completeness2/5

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

Given the tool has 12 parameters and no output schema, the description is too brief. It lacks explanation of how filters affect aggregations, what the output format looks like, and any limitations. Incomplete for effective use.

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% with detailed parameter descriptions. The description adds no new semantics beyond what is already in the schema, such as clarifying the role of filter parameters in aggregation. Baseline score of 3 applies.

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 clearly states it facets the Numbeo cities dataset and returns terms aggregation counts, specifying the facet enum is 'country'. The verb 'facet' and the explanation differentiate it from sibling search and item tools.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives like datasets_numbeo_cities_search. The description implies usage for aggregation but does not provide when-to-use or when-not-to-use advice.

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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