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bissl - menus in Austria

Server Details

Dishes, prices, diets, allergens and this week's lunch menus of places to eat in Austria.

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Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

A4/5.0

Scored across 4 tools

Disambiguation4/5

get_venue is a single-venue fetch while search_venues, search_dishes, and search_lunch_menus are distinct search axes (venue, dish, lunch menu). There is mild overlap since search_venues can filter to "serving lunch today" and search_dishes may surface lunch dishes, but the primary intent of each tool is clear.

Naming Consistency5/5

All four tools use a consistent snake_case verb_noun pattern: get_venue, search_dishes, search_lunch_menus, search_venues. The singular/plural nouns are logical and easy to predict.

Tool Count5/5

Four tools is well-scoped for a menu discovery service: one fetch-by-id and three targeted search entry points. Each tool covers a genuinely different lookup mode, with no redundant or filler tools.

Completeness5/5

The read-only surface covers the domain's key access patterns: venue lookup, venue discovery with rich filters, dish/drink search, and time-based lunch menu search. No obvious lifecycle or query gaps remain for a directory-style server.

Available Tools

4 tools
get_venueGet a placeA
Read-only
Inspect

A place by its slug: address, phone, website, opening hours and its whole menu - food, drinks and this week's lunch - with every price.

ParametersJSON Schema
NameRequiredDescriptionDefault
langNoThe language of dish names, descriptions and section titles: de, the menus' own, or en, as bissl translated them.
slugYesThe place's `slug`, from a search's or a list's answer.

Output Schema

ParametersJSON Schema
NameRequiredDescription
menusYesIts regular food and drinks, and its lunch of this week; none when bissl has no menu of it.
phoneNo
placeYes
websiteNoIts own website.
checked_onNoThe day its menus were last read from its website.
attributionYes
opening_hoursNoIts opening hours in OpenStreetMap's syntax: "Mo-Fr 11:00-22:00; Sa 12:00-22:00".

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds payload-scope context (whole menu plus this week's lunch with every price), but says nothing about auth, rate limits, error behavior, or what happens with an unknown slug.

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 identifying the key and the returned content; no filler. The nested dash clause listing food, drinks and lunch is slightly ornate but still earns its place by scoping the payload.

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 shape need not be restated, and the description correctly focuses on resource identity and payload breadth. The only material gap is routing guidance relative to the search siblings, which the annotations and schema cannot supply.

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%, and the schema itself explains both slug (source of the value) and lang (language of dish names). The description adds nothing about lang and only gestures at slug via 'by its slug', so it stays at the schema-driven baseline.

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 resource and retrieval key ('a place by its slug') and enumerates the payload (address, phone, website, hours, full menu, prices). It is clearly a single-entity detail fetch and thus distinct from the search_* siblings, though it never names them explicitly.

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 slug-based fetch implies a two-step workflow after search_venues, but the description never states when to prefer this over the search siblings or what to do if the slug is unknown. Usage is left to inference from the required parameter.

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

search_dishesSearch dishesA
Read-only
Inspect

Find a dish or drink on the menus of places in Austria: which places serve it, at what price, with diet and allergens. Give the dish in plain words ("schnitzel", "vegan curry", "glutenfreie pizza"), and where: a point (lat, lon) to search near, a map area (bbox), or neither for everywhere.

ParametersJSON Schema
NameRequiredDescriptionDefault
qNoWords a dish must match, as people say them, German or English: "schnitzel", "vegan curry", "glutenfreie pizza". A diet, allergens or a cuisine among them are taken as filters; misspelt German words are put right when that finds something.
latNoThe latitude of a point - the user's, or one they name - to measure distances from and sort nearest first; with `lon`.
lonNoThe longitude of that point; with `lat`.
bboxNoKeep to a map area: "west,south,east,north" in degrees - a town, a district, the streets around a place. Everywhere when left out.
dietNoOnly dishes of this diet: vegan, or vegetarian (vegan dishes included).
langNoThe language of dish names, descriptions and section titles: de, the menus' own, or en, as bissl translated them.
sortNoThe order of the places.
limitNoPlaces to answer with: 1 to 30, 10 when left out.
offsetNoPlaces to skip, for the next ones: 0 when left out.
cuisineNoOnly at places of this cuisine, as OpenStreetMap names it: "italian", "vietnamese".
free_ofNoOnly dishes whose menu lists their allergens and none of these letters: "A" gluten, "G" milk, "AG" both.
open_nowNoOnly places open right now.
dish_kindNoFood or drinks only.
max_priceNoOnly dishes costing at most this much, in whole euros.
min_priceNoOnly dishes costing at least this much, in whole euros.

Output Schema

ParametersJSON Schema
NameRequiredDescription
dietNoThe filters in effect, asked for or taken from the words.
noteNoWhy there is nothing, or less than asked for, when there is a reason to say.
placesYesEach with its best matches, at most 5.
cuisineNo
free_ofNo
searchedNoThe words searched for, once a diet, allergens or a cuisine among them were taken as filters ("vegan curry" searches "curry" with diet vegan); null for none.
correctedNoThe words put right when they found nothing as typed: "schnitzel" for "schnitzl".
attributionYes
recommendedYesNothing was asked for, so these are dishes popular at this time of day.
total_dishesYes
total_placesYesPlaces and dishes found, of which `places` holds `limit` from `offset` on.

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real context beyond that: the data covers places in Austria (consistent with the closed-world hint), results include which venues serve the dish along with price, diet and allergens, and free-text terms for diets/allergens/cuisines are silently promoted to filters. No pagination or rate-limit behavior is mentioned, but limit/offset live in the schema.

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, front-loaded with the outcome ('Find a dish or drink... which places serve it, at what price, with diet and allergens') followed by the input contract. No filler. The location clause partially duplicates the schema's lat/lon/bbox descriptions, which keeps it just short of a 5.

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, the description need not explain return values, and it correctly focuses on scope (Austria) and query phrasing. All 15 parameters are documented in the schema, so nothing essential is missing. It could be more complete by routing the agent away from sibling search tools, but for a 15-param optional-argument search this is adequate.

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% and every one of the 15 parameters carries a substantive description, so the schema does the heavy lifting. The description only restates the headline inputs (q, lat/lon, bbox) without adding format or syntax detail 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource: find a dish or drink on menus, returning which places serve it with price, diet and allergens, scoped to Austria. That is far more than a restatement of the name. It stops short of differentiating from siblings such as search_lunch_menus or search_venues, so an agent must infer the boundary between menu-item search and venue search.

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?

It tells the agent how to phrase the query (plain words, German or English) and gives three location modes: a point, a bbox, or neither for everywhere. That is genuine call-shaping guidance. However, it never says when to prefer this tool over search_lunch_menus, search_venues or get_venue, and gives no exclusions or prerequisites.

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

search_lunch_menusSearch lunch menusA
Read-only
Inspect

The lunch menus (Mittagsmenüs) served today - or another day of this week - with every dish and its price, near a point or in a map area; with q, only the lunch dishes matching it ("schnitzel", "suppe").

ParametersJSON Schema
NameRequiredDescriptionDefault
qNoWords a dish must match, as people say them, German or English: "schnitzel", "vegan curry", "glutenfreie pizza". A diet, allergens or a cuisine among them are taken as filters; misspelt German words are put right when that finds something.
dayNo"2026-10-20": another day of this lunch week, Monday to Sunday (at the weekend, the coming week's too). Today when left out; open_now only counts today.
latNoThe latitude of a point - the user's, or one they name - to measure distances from and sort nearest first; with `lon`.
lonNoThe longitude of that point; with `lat`.
bboxNoKeep to a map area: "west,south,east,north" in degrees - a town, a district, the streets around a place. Everywhere when left out.
dietNoOnly dishes of this diet: vegan, or vegetarian (vegan dishes included).
langNoThe language of dish names, descriptions and section titles: de, the menus' own, or en, as bissl translated them.
sortNoThe order of the places.
limitNoPlaces to answer with: 1 to 30, 10 when left out.
offsetNoPlaces to skip, for the next ones: 0 when left out.
cuisineNoOnly at places of this cuisine, as OpenStreetMap names it: "italian", "vietnamese".
free_ofNoOnly dishes whose menu lists their allergens and none of these letters: "A" gluten, "G" milk, "AG" both.
open_nowNoOnly places open right now.
max_priceNoOnly dishes costing at most this much, in whole euros.
min_priceNoOnly dishes costing at least this much, in whole euros.

Output Schema

ParametersJSON Schema
NameRequiredDescription
dayYesThe day the lunch menus are for.
dietNoThe filters in effect, asked for or taken from the words.
noteNoWhy there is nothing, when there is a reason to say.
placesYesEach with its whole lunch that day - the dishes matching `q`, when it was given.
cuisineNo
free_ofNo
searchedNoThe words the dishes match, once a diet, allergens or a cuisine among them were taken as filters; null for none.
correctedNoThe words put right when they found nothing as typed: "schnitzel" for "schnitzl".
attributionYes
total_dishesYes
total_placesYesPlaces serving lunch and their dishes, of which `places` holds `limit` from `offset` on.

TDQS

A3.8/5.0
Behavior4/5

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

Annotations only declare readOnlyHint and openWorldHint, so the description carries real weight and delivers: it discloses the geographic scoping modes (near a point vs. map area), the temporal scope (today or any day of this lunch week), and that queried dishes come back with prices. It adds genuine operational context beyond the safety profile, though it does not describe pagination behavior or result volume.

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 that opens with the resource and its contents before adding the optional narrowing behavior of `q`. Every clause earns its place; the only minor cost is that cramming return content, geo modes, and query semantics into one sentence slightly blurs the structure.

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 an output schema present and 100% schema description coverage on all 15 parameters, the description need not explain return values or field formats. It complements the structured data by explaining the day/geo/query framing, leaving no functional gap an agent needs to fill before calling.

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% across 15 parameters, so the schema already defines q, day, lat/lon, bbox, diet, sort, prices, and the rest in detail. The description only gestures at the point/map-area dichotomy and the q filter, adding framing rather than new parameter meaning. Baseline 3 is correct when the schema does the heavy lifting.

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?

The description names a concrete resource and its payload: "The lunch menus (Mittagsmenüs) served today ... with every dish and its price, near a point or in a map area." An agent immediately knows this returns venue-level lunch menus with dishes, not a single venue or a dish list. It never names the sibling tools (search_dishes, search_venues) to draw the boundary explicitly, so it stops 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?

Usage is implied rather than stated: the day parameter is framed as "today - or another day of this week" and `q` is framed as narrowing to matching lunch dishes, which hints at when this tool is appropriate. However, there is no explicit guidance on when to pick this over search_dishes or search_venues, and no stated prerequisites or exclusions.

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

search_venuesSearch placesA
Read-only
Inspect

Places to eat and drink: by name, kind, cuisine, map area or nearness, open now, with a menu, serving lunch today.

ParametersJSON Schema
NameRequiredDescriptionDefault
qNoWords to search for among the places: part of a name - "figlm" finds Figlmüller.
latNoThe latitude of a point - the user's, or one they name - to measure distances from and sort nearest first; with `lon`.
lonNoThe longitude of that point; with `lat`.
bboxNoKeep to a map area: "west,south,east,north" in degrees - a town, a district, the streets around a place. Everywhere when left out.
kindNoIts kind as OpenStreetMap tags it: restaurant, fast_food, cafe, bar, pub, biergarten, ice_cream, food_court, bakery or pastry.
langNoThe language of dish names, descriptions and section titles: de, the menus' own, or en, as bissl translated them.
sortNoThe order of the places.
limitNoPlaces to answer with: 1 to 30, 10 when left out.
offsetNoPlaces to skip, for the next ones: 0 when left out.
cuisineNoOnly at places of this cuisine, as OpenStreetMap names it: "italian", "vietnamese".
has_menuNoOnly places whose menu with prices bissl read.
open_nowNoOnly places open right now.
lunch_todayNoOnly places serving a lunch menu today.

Output Schema

ParametersJSON Schema
NameRequiredDescription
noteNoWhy there is nothing, when there is a reason to say.
placesYes
cuisineNoThe cuisine kept to, when one was asked for.
attributionYes
total_placesYesPlaces matching, of which `places` holds `limit` from `offset` on.

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds little beyond restating filter dimensions and doesn't mention defaults, pagination behavior, or result limits beyond what the schema says.

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 that lists capabilities compactly. It is efficient, though the list-like phrasing reads as a feature dump rather than a prioritized guide.

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 13 optional parameters, full schema documentation, an output schema, and safety annotations, the description covers the tool's identity adequately. It could be stronger by distinguishing this tool from its search siblings, but nothing critical is missing for correct invocation.

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 is already documented in detail, including bbox format, sort modes, and limits. The description's phrases ('open now', 'with a menu', 'serving lunch today') simply echo parameter names without adding meaning, making 3 the correct baseline.

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?

The description states what the tool searches over (places to eat and drink) and enumerates the searchable dimensions, which is clear enough to select it. It doesn't explicitly contrast with sibling search_dishes or search_lunch_menus, so an agent must infer the boundary itself.

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?

Usage is implied by the enumerated filters (by name, cuisine, map area, open now) but there is no explicit guidance on when to prefer this over search_dishes or search_lunch_menus, nor any prerequisite or exclusion notes.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 4 tool updates
    • First observedget_venue
    • First observedsearch_dishes
    • First observedsearch_lunch_menus
    • First observedsearch_venues

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