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7nashinick

norwegian-data-mcp

search_address

Read-only

Find official Norwegian street addresses from partial or misspelled input, returning coordinates, municipality, postal code, and property IDs (gnr/bnr).

Instructions

Search official Norwegian addresses. Returns matched addresses with coordinates (lat/lon, EPSG:4258), municipality (kommune), postal code/place, and cadastral identifiers (gardsnummer/bruksnummer, i.e. gnr/bnr), so this also resolves address to property ID in one call. Handles partial input and typos. Use for 'where is ' and as the first step before get_property. For place names that are not street addresses (mountains, lakes, farms), use get_place. Example: query='Karl Johans gate 22, Oslo'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYesFree-text address, partial OK
kommunenummerNoOptional 4-digit municipality filter

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations declare readOnlyHint and openWorldHint, so safety is covered. The description adds real behavioral context: it handles partial input and typos, and returns coordinates in EPSG:4258 plus cadastral IDs. It does not discuss failure modes or rate limits, but it meaningfully exceeds the 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?

Front-loaded with the core purpose and return payload, then usage and alternatives, then an example. Dense but each sentence carries routing or semantic value; only the return-detail sentence partly overlaps the output schema.

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 an output schema present, return values need not be re-explained, yet the tool's routing, typo tolerance, and example are all covered. Minor gap is the undocumented limit parameter, which leaves result-count behavior unstated.

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 67%: query and kommunenummer are documented, limit is not. The description adds a concrete example query value, which helps with format, but it never explains the limit or municipality filter parameters beyond what the schema already says. Baseline 3 is 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?

States a specific verb (search) and resource (official Norwegian addresses), and explicitly says it also resolves address to property ID via cadastral identifiers. It distinguishes itself from siblings get_property and get_place by name.

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?

Gives explicit when-to-use ('where is <address>', first step before get_property) and when-not (place names that are not street addresses → use get_place). The alternative routing is unambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.