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Crawlora MCP

datasets_numbeo_cities_search

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Search the composite Numbeo cities dataset (merged from the current global rankings of all seven index families: cost of living, quality of life, crime, health care, pollution, traffic, property investment).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoOptional full-text query over the city name, max 256 characters.
pageNoResult page number, 1-based, default 1; page times page_size must not exceed 10000.
sortNoOptional sort order. Allowed values: name_asc, cost_of_living_asc, cost_of_living_desc, quality_of_life_desc, safety_desc, crime_asc, health_care_desc, pollution_asc, traffic_asc. Defaults to relevance with q, otherwise name_asc.
countryNoOptional exact country filter, max 128 characters.
page_sizeNoPage size, default 20, max 100; page times page_size must not exceed 10000.
max_crime_indexNoOptional maximum Crime Index.
min_crime_indexNoOptional minimum Crime Index.
min_safety_indexNoOptional minimum Safety Index.
max_traffic_indexNoOptional maximum Traffic Index.
max_pollution_indexNoOptional maximum Pollution Index.
min_health_care_indexNoOptional minimum Health Care Index.
max_cost_of_living_indexNoOptional maximum Cost of Living Index (New York = 100).
min_cost_of_living_indexNoOptional minimum Cost of Living Index (New York = 100).
min_quality_of_life_indexNoOptional minimum Quality of Life Index.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=true), so the description needn't restate them. It adds useful context that the data is a merged, currently-ranked composite across seven index families, which tells the agent what kind of records come back, but it says nothing about pagination limits or result shape beyond what the schema carries.

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 stating the action and resource, with the index-family enumeration tightly packed into a parenthetical. It is efficient, though the long parenthetical makes it slightly heavier than necessary.

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

Completeness3/5

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

With 14 fully documented parameters and an output schema, the description needn't explain return values, and its scope statement is accurate. What is missing is guidance on when to prefer this composite search over the sibling numbeo index tools or the facets/item endpoints, which an agent invoking in a large toolset would benefit from.

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 every parameter (q, page, sort, country, and the index threshold filters) is already documented in the schema. The description adds no parameter-level syntax, units, or defaults beyond what is provided there, making the baseline 3 appropriate.

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 (Search) and a well-defined resource (the composite Numbeo cities dataset), and clarifies that it merges all seven index families, which distinguishes it from single-index tools. It does not explicitly differentiate itself from the adjacent datasets_numbeo_cities_facets/item or datasets_numbeo_countries_search siblings, so it falls short of a 5.

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?

The description implies usage by calling the dataset 'composite' and merged 'from the current global rankings of all seven index families', suggesting it is the right entry point when filtering across multiple indices. However, there is no explicit when-to-use, when-not-to-use, or named alternative (e.g., facets or item tools), leaving routing to inference.

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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