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SkyddsrumsKollen — Swedish Civil-Defence Shelters

Find nearby shelters

find_nearby_shelters
Read-onlyIdempotent

Find the nearest Swedish civil-defence shelters (skyddsrum) to a WGS84 position, sorted by distance. Returns up to 25 shelters (limit 1-25, default 10; fractions are floored and the effective limit is echoed) with address (street or Swedish property designation), capacity (number of people) and distance in km. The dataset has no separate municipality field — the address is the location identifier. Use search_location first if you only have a place name. Coverage is Sweden only (lat 55.0-69.5, lng 10.0-24.5 WGS84) — positions outside return status 'no_coverage' instead of results. Note: in Sweden you are not assigned to a specific shelter — in an emergency, use whichever shelter or protective space you can reach.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude, WGS84 decimal degrees. Coverage: 55.0-69.5 (Sweden).
lngYesLongitude, WGS84 decimal degrees. Coverage: 10.0-24.5 (Sweden).
limitNoMax number of shelters (default 10). Fractions are floored.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
infoNo
queryNo
statusNo
sheltersNo
attributionNo
server_buildNo
server_versionNo

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds substantial behavior beyond that: limit clamping (1-25, default 10, floors fractions, echoes effective limit), output fields (address, capacity, distance), the absence of a municipality field, and the no_coverage response for out-of-range coordinates. No contradiction with annotations.

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?

The description is a single dense paragraph of about 120 words, with the core purpose front-loaded and each subsequent sentence providing necessary detail or a caveat. The closing emergency note is slightly tangential but still useful; the density is high but not wasteful.

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 the rich annotations and presence of an output schema, the description still adds all invocation-relevant information: parameter behavior, coverage bounds, no_coverage status, and an explicit alternative sibling. An agent can correctly select and call the tool without further clarification.

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

Parameters5/5

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

Schema description coverage is 100%, but the description enriches the parameters by explaining the limit default and floor/echo behavior and by clarifying the effective coordinate bounds for lat/lng. It also adds semantic context that the address serves as the location identifier since there is no municipality field.

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 opens with 'Find the nearest Swedish civil-defence shelters (skyddsrum) to a WGS84 position, sorted by distance' — a specific verb, resource, and ordering. It also explicitly names search_location as an alternative for place-name input, distinguishing it from at least one sibling.

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

Usage Guidelines5/5

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

Explicitly instructs 'Use search_location first if you only have a place name', giving a clear when-to-use vs when-not-to-use condition. It also states Sweden-only coverage and the resulting 'no_coverage' status for out-of-range positions, which helps agents decide whether to call this tool.

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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TDQS

A4.6/5.0
Disambiguation4/5

Tools are largely distinct: find_nearby_shelters is geospatial, search_shelters is address-text, and get_shelter is ID-based. The only mild ambiguity is search_location vs search_shelters, both taking text input, but the descriptions explicitly cross-reference the correct workflow, making misselection unlikely.

Naming Consistency5/5

All five tools follow a consistent snake_case verb_noun pattern: find_nearby_shelters, get_shelter, get_shelter_stats, search_location, search_shelters. The verbs (find/get/search) align with the operation semantics, and the naming is uniform and predictable.

Tool Count5/5

Five tools is well-scoped for a read-only geographical lookup service. Each tool covers a distinct need: geospatial search, ID lookup, statistics, geocoding, and address search, with no redundant or extraneous additions.

Completeness5/5

For a read-only dataset domain, the surface is complete: the full workflow from place name (search_location) to coordinates (find_nearby_shelters) to details (get_shelter) is covered, plus an alternative address-based entry point and national statistics. The descriptions proactively document dataset limitations (e.g., no municipality field) and provide workarounds, so no critical dead ends remain.

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