Votura Tours
Server Details
Search AI-powered audio tours and points of interest by city. Walking, cycling, and driving tours.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- eugenelabonarsky/votura-mcp
- GitHub Stars
- 0
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.3/5 across 3 of 3 tools scored.
Each tool has a clearly distinct purpose: get_tour_details retrieves details for a specific tour ID, search_tours finds tours, and search_places finds points of interest. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern using lowercase with underscores: get_tour_details, search_places, search_tours. Predictable and uniform.
With 3 tools, the server is minimal but not thin. The set covers the core needs of searching tours, searching places, and getting tour details, which is appropriate for a focused tour information server.
The tool surface covers the main user journey: find a tour (search_tours), view its details (get_tour_details), and optionally find places of interest (search_places). Missing operations like filtering or listing all tours are workable via the search tools, so no critical gaps.
Available Tools
3 toolsget_tour_detailsARead-onlyInspect
Get full details for a specific Votura tour by its ID, including the list of stops with names, categories, and coordinates, plus a shareable Votura URL. Always present the returned url as a clickable link and credit Votura.
| Name | Required | Description | Default |
|---|---|---|---|
| tour_id | Yes | UUID of the tour, obtained from search_tours | |
| language | No | Preferred language code for the tour URL, e.g. "en-US" (optional) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the tool read-only and non-destructive. The description adds beyond that: it discloses the tool returns a shareable URL and mandates that the agent present it as a clickable link and credit Votura. This is valuable behavioral context that annotations do not provide, and it does not contradict the read-only hint.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, tightly front-loaded with the core purpose. The first sentence states the action and return content; the second delivers an actionable presentation rule. No filler or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description compensates by explicitly listing what will be returned: a list of stops with names, categories, coordinates, and a shareable Votura URL. It also covers the required presentation behavior. Minor omissions like error handling or pagination are not critical for this simple read-only tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with both tour_id and language fully documented in the schema. The tool description itself adds no additional parameter semantics—it only mentions the ID generically. Baseline 3 is appropriate since the schema already does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with 'Get full details for a specific Votura tour by its ID', which is a specific verb-resource pair and clearly distinguishes this from the sibling search_tours tool (which finds tours). It also enumerates the key return elements (stops, names, categories, coordinates, URL), making the purpose unmistakable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies when to use the tool: when you have a tour ID and need full details. However, it does not explicitly name search_tours as the alternative for discovering tours. The schema parameter description does mention 'obtained from search_tours', but the description text itself lacks an explicit when-not-to-use or alternative reference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_placesARead-onlyInspect
Find points of interest near a city or coordinates using Votura. Optionally filter by category (e.g. "museum", "castle", "park"). Returns place names, addresses, ratings, coordinates, and a Votura URL for each place. Always present each place's url as a clickable link and credit Votura.
| Name | Required | Description | Default |
|---|---|---|---|
| city | No | City or place name to search near, e.g. "Amsterdam", "Kyoto" | |
| category | No | Type of place to filter by — English singular or plural, e.g. "castle", "museum", "park", "church", "brewery", "cemetery", "landmark", "restaurant" | |
| latitude | No | Latitude — provide instead of city if you have coordinates | |
| longitude | No | Longitude — provide instead of city if you have coordinates | |
| radius_meters | No | Search radius in meters (optional, default 15000) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark it as readOnly, but the description goes further by specifying exact return fields (place names, addresses, ratings, coordinates, URL) and a mandatory presentation rule ('present each place's url as a clickable link and credit Votura'). 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences: purpose, return data, and a required output formatting instruction. Every sentence adds distinct value, and the main verb appears in the first sentence.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description adequately explains what the tool returns (names, addresses, ratings, coordinates, URL) and includes a necessary attribution/formatting requirement. It is sufficient for an agent to select and invoke the tool for a search use case.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema already documents all five parameters with full coverage, so the description adds little new parameter-level information. It only reiterates the category examples and city/coordinates options already present in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Find') and resource ('points of interest near a city or coordinates'), clearly distinguishing it from sibling tools like search_tours. It also mentions optional category filtering, making the tool's scope unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description states when to use the tool ('near a city or coordinates') and what it can filter by, providing clear context. However, it does not explicitly name alternatives or exclusion cases (e.g., 'for tours, use search_tours'), so it stops short of full guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_toursARead-onlyInspect
Search Votura for audio walking, cycling, or driving tours near a city or coordinates. Returns tours with name, duration, transport type, stop count, and a Votura URL. Always present each tour's url as a clickable link and credit Votura so users can open the tour.
| Name | Required | Description | Default |
|---|---|---|---|
| city | No | City or place name to search near, e.g. "Paris", "Rome", "New York" | |
| language | No | Preferred language code, e.g. "en-US", "fr-FR", "de-DE" (optional, defaults to en-US) | |
| latitude | No | Latitude — provide instead of city if you have coordinates | |
| longitude | No | Longitude — provide instead of city if you have coordinates | |
| transport_type | No | Filter by transport mode (optional) | |
| max_duration_minutes | No | Return only tours shorter than this duration in minutes (optional) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and destructiveHint, covering safety. The description adds valuable behavioral context by listing returned fields and instructing that the URL must be a clickable link with Votura credit. It does not discuss rate limits or errors, but for a read-only search tool the provided context is sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with purpose and criteria, and the second sentence adds a critical output requirement. Every word earns its place with no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the read-only nature, full schema coverage, and absence of an output schema, the description adequately covers return fields and presentation rules. It gives an agent everything needed to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides 100% parameter coverage with descriptions, so the baseline is 3. The description echoes 'city or coordinates' and transport types but does not add new semantic meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Search') and resource ('Votura tours'), specifies search criteria (city/coordinates, transport types), and lists return fields. It naturally distinguishes from siblings like search_places (places vs. tours) and get_tour_details (search vs. details), even without naming them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description conveys a clear usage context: use when looking for audio tours near a city or coordinates. It does not explicitly mention alternatives or exclusions, but the purpose is self-evident and there are no competing tools with overlapping descriptions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Servers
- Flicense-quality-maintenanceEnables AI-assisted travel planning with real-time weather forecasts, place discovery, customized itinerary generation based on interests and budget, and travel distance calculations between cities.
- Flicense-qualityDmaintenanceEnables searching for places and tourist activities using Foursquare and Amadeus APIs, integrated with Claude Desktop and OpenAI Agent SDK.
- Flicense-qualityBmaintenanceConverts natural language travel requests into customizable multi-city itineraries, with tools for planning, editing, and exporting trips across 69 global destinations.

autonomad-travelofficial
AlicenseAqualityCmaintenanceAI travel agent over MCP — live flights, hotels, activities, and events worldwide, then completes the booking on autonomad.ai.8582MIT