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Glama

Server Details

Discover Norwegian experiences & activities by county, category, weather, season and price.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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Tool DescriptionsA

Average 4.2/5 across 3 of 3 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a distinct purpose: discover_experiences searches/filters, get_experience gets details by UUID, and list_experience_categories shows categories. No functional overlap.

Naming Consistency5/5

All three tools use a consistent verb_noun pattern with snake_case (discover_experiences, get_experience, list_experience_categories), making them predictable.

Tool Count5/5

With 3 tools, the server is tightly scoped to its purpose: listing categories, searching, and getting details. This is appropriate for a read-only marketplace discovery service.

Completeness5/5

The tools cover the full lifecycle of browsing experiences: see what's available (categories), search with filters, and retrieve full details. No obvious gaps for the intended use case.

Available Tools

3 tools
discover_experiencesDiscover Norwegian experiencesA
Read-onlyIdempotent
Inspect

Search the opplevagent.no curated marketplace of Norwegian experiences and activities. Filtrer på fylke (county), kategori, vær, sesong, innendørs/utendørs, gruppestørrelse, pris og varighet. / Filter by county, category, weather, season, indoor/outdoor, group size, price, and duration. Returns title, category, location (fylke/kommune), description, and booking URL if available. Only verified experiences from active providers (Brreg-checked) are returned. Examples: 'hva kan vi finne på i Troms om vinteren?', 'outdoor activities in Oslo for 4 people'.

ParametersJSON Schema
NameRequiredDescriptionDefault
ageNoAge of the youngest participant. Filters out experiences with a minimum-age requirement above this. Example: 8
fylkeNoNorwegian county (fylke). Examples: 'Oslo', 'Vestland', 'Troms', 'Rogaland'
limitNoMax results (default 20, max 50)
seasonNoSeason filter. Examples: 'summer', 'winter', 'spring', 'autumn'
kommuneNoNorwegian municipality (kommune). Examples: 'Tromsø', 'Bergen', 'Stavanger'
weatherNoWeather suitability filter. 'rain'/'snow' prefers indoor + weather-independent experiences. Examples: 'rain', 'clear'
categoryNoExperience category slug. Examples: 'natur_friluft', 'dyreliv_safari', 'mat_drikke', 'vinter'
languageNoRequired language for the experience. Examples: 'no', 'en'
max_priceNoMaximum price per person in Norwegian kroner (NOK). Example: 500
group_sizeNoNumber of people in the group. Used to filter experiences by min/max group capacity. Example: 4
duration_maxNoMaximum duration in minutes. Example: 120 (2 hours)
indoor_outdoorNoIndoor/outdoor preference. Examples: 'indoor', 'outdoor', 'both'
Behavior4/5

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

Annotations already indicate idempotent, read-only, and non-destructive behavior. The description adds value by specifying that only verified experiences from Brreg-checked providers are returned, and outlines the returned fields.

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 concise and front-loaded with the main action and resource. The bilingual content is slightly redundant but not detrimental.

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?

Given 12 parameters with full schema coverage, the description adequately covers purpose, filters, return data, and data quality. Lack of output schema is mitigated by listing returned fields.

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% with all parameters already described. The description summarizes filter types but does not add significant new meaning beyond what the schema provides.

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 the tool searches a curated marketplace of Norwegian experiences and activities, using specific verbs and resource. It distinguishes itself from siblings (get_experience and list_experience_categories) by focusing on search and filtering.

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

Usage Guidelines4/5

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

The description provides context for when to use the tool, including example queries, but does not explicitly state when not to use it or mention alternatives like get_experience for single results.

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

get_experienceGet full details for a Norwegian experienceA
Read-onlyIdempotent
Inspect

Fetch complete details for a single experience from opplevagent.no by its UUID. Henter fullstendig informasjon om en opplevelse via UUID. Returns title, full description, category, location (fylke/kommune/meeting point), indoor/outdoor, season, weather suitability, group size limits, age suitability, price, duration, languages, booking URL, and booking type. Obtain the UUID from discover_experiences results. Example: id 'a1b2c3d4-e5f6-7890-abcd-ef1234567890'.

ParametersJSON Schema
NameRequiredDescriptionDefault
idYesUUID of the experience to fetch. Example: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890'
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds detail about the rich return fields (title, description, category, etc.), which is consistent. No contradictions, but doesn't mention potential network delays.

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?

Two sentences plus a bilingual intro. Front-loaded with main action. The Norwegian duplicate adds slight redundancy but overall concise and clear.

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?

With one parameter, no output schema, and annotations covering safety, the description fully covers what the tool does, what it returns, how to obtain the UUID, and provides an example. No gaps.

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

Parameters4/5

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

Schema coverage 100% for the single 'id' parameter. The description adds context with an example UUID and ties it to discover_experiences, enhancing understanding beyond the schema's format description.

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 fetches complete details for a single experience by UUID. It distinguishes from sibling tools (discover_experiences, list_experience_categories) by focusing on a single item, not discovery or categories.

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 tells when to use: 'Obtain the UUID from discover_experiences results.' This directly connects to the sibling tool and provides clear guidance on prerequisite data.

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

list_experience_categoriesList Norwegian experience categoriesA
Read-onlyIdempotent
Inspect

List all experience categories available on opplevagent.no, along with the number of verified experiences in each category. Henter alle kategorier med antall verifiserte opplevelser. Use this to understand what kinds of experiences are available before calling discover_experiences with a specific category filter. Example question: 'hvilke typer opplevelser finnes i Norge?', 'what categories are available?'.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Behavior3/5

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

Annotations already indicate readOnly and idempotent. Description adds that it returns categories with counts, providing minor behavioral detail beyond annotations.

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

Conciseness3/5

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

Description includes both English and Norwegian text, which is somewhat redundant. However, it is brief and front-loaded with the main action in the first sentence.

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?

For a parameterless list operation with no output schema, the description adequately explains return content (categories with counts) and usage context. Minor missing details like sorting or pagination are acceptable.

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

Parameters4/5

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

No parameters; schema coverage is 100% and description does not need to add parameter semantics. Baseline score of 4 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 the tool lists all experience categories with verified experience counts, distinguishing it from siblings by advising usage before calling discover_experiences with a filter.

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

Usage Guidelines4/5

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

Explicitly advises using this tool to understand available categories before filtering with discover_experiences. Includes example questions. Lacks explicit when-not-to-use, but sibling context makes it sufficient.

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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