Skip to main content
Glama

Nonstop destinations from an airport

destinations_from
Read-only

All airports reachable nonstop from a given origin, with the service kinds (scheduled, seasonal, charter, suspended, ...) per destination. Optionally filter by kind and include the operating airlines. Seasonal and charter service carries no operating dates; treat as unverified for specific travel dates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoOnly destinations with at least one route of this service kind
originYesThree-letter IATA airport code, e.g. "IST"
include_airlinesNoAlso list the operating airlines per destination (larger response)

TDQS

A4.7/5.0
Behavior5/5

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

With readOnlyHint: true and openWorldHint: false annotations, the description adds valuable behavioral context: it clarifies that seasonal and charter services carry no operating dates and should be treated as unverified for specific dates. It also notes the larger response when including airlines, going beyond the annotations to set expectations.

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

Conciseness5/5

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

The description is two sentences, front-loaded with the core purpose, followed by precise details and a caveat. Every word earns its place, with no redundancy or fluff.

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?

Despite no output schema, the description fully covers the tool's behavior, including edge cases like seasonal service date limitations. For a tool with three parameters and a single required one, the description provides all necessary operational context without being overly verbose.

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 is 100%, providing baseline equality. The description adds meaning by explaining the effect of the 'kind' filter with examples and clarifying that 'include_airlines' results in a larger response, which is not obvious from the schema alone. This enhances the agent's understanding of parameter usage.

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 airports reachable nonstop from a given origin, including service kinds, with optional filters. It uses specific verbs and resource nouns, and differentiates from sibling tools like 'reachable_from' and 'find_connections' by emphasizing nonstop routes.

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 clearly implies when to use the tool (to get nonstop destinations from an origin, optionally filtered by kind and with airline details), and provides context on behavior like larger responses. However, it does not explicitly exclude alternatives or mention sibling tools, though the context is clear.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.2/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but destinations_from and reachable_from could be confused by an agent; their descriptions clarify that one is nonstop while the other respects a stop budget. Otherwise, each tool targets a different query type, so mistakes should be rare.

Naming Consistency3/5

The naming mixes verb-led patterns (find_airport, find_connections, find_meetup) with noun/preposition styles (airline_routes, destinations_from, route_details, reachable_from, most_connected_airports). While all are readable and snake_case, the lack of a single consistent convention makes the tool names less predictable.

Tool Count5/5

With 8 tools, the server is well-scoped for the flight-route exploration domain. Each tool serves a distinct purpose, and the count is neither sparse nor overwhelming.

Completeness5/5

The tool set covers the full lifecycle of route discovery: airport lookup, airline networks, direct destinations, multi-stop paths, meetup planning, connectivity rankings, reachable range, and route details. There are no significant gaps within the stated domain of route data (no fares/dates is an intentional limitation, not an omission).

Resources