data_status
Check which static datasets (airports, airlines, visas) are loaded and their row counts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Check which static datasets (airports, airlines, visas) are loaded and their row counts.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. 'Check' implies a read-only operation, but the description does not disclose potential caveats such as what happens if datasets are not loaded or whether there are any side effects. It is adequate but minimal.
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 one concise sentence, front-loaded with the verb, with no wasted words. It efficiently communicates the tool's purpose.
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 tool's simplicity (no parameters, output schema exists), the description is sufficiently complete. It lists the relevant datasets and what to expect (row counts), though it could optionally mention the meaning of 'loaded'.
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 tool takes no parameters (schema coverage 100% with empty properties), so there is nothing to explain. Per the rubric, a baseline of 4 is appropriate when there are zero parameters.
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 tool's function: checking which static datasets (airports, airlines, visas) are loaded and their row counts. The verb 'Check' is specific, and the resource is well-defined, distinguishing it from sibling lookup/search tools.
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 implies usage context (checking data availability) but does not explicitly state when to use it versus alternatives, nor does it mention any exclusions or prerequisites. For a simple status check, the guidance is sufficient but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are namespaced by vendor and resource, so ferry, tour, flight, hotel, and experience searches are broadly distinguishable. However, hotel search exists in both skiplagged and trivago, ferryhopper_search_trips is a deprecated duplicate of search_trips_v2, and several skiplagged calendar/anywhere tools overlap in flight-price discovery, which can cause misselection.
Naming conventions are mixed across the set: plain underscores (airports_search), vendor-prefixed underscores (ferryhopper_get_ports), redundant prefixes (skiplagged_sk_hotels_search, trivago_trivago-accommodation-search), and hyphenated sub-APIs (tourradar_b2b-tour-details, tourradar_vertex-tour-search). There is no consistent verb_noun pattern and at least one version-suffixed deprecated name.
With 56 tools, the server falls into the extreme-mismatch count band. The breadth is partly explained by eight vendor integrations, but many lookups, near-duplicate searches, and deprecated tools could be consolidated or split into focused MCP servers.
The tool surface covers most of the travel-planning lifecycle: airports, airlines, visa rules, FCDO advice, flights, hotels, cars, ferries, experiences, and tours including search, details, and tour booking. The main gaps are that only tours have an actual booking flow and there is no update/cancel or post-booking management.