delete_flight
Remove a flight from the trip.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| flight_id | Yes |
Remove a flight from the trip.
| Name | Required | Description | Default |
|---|---|---|---|
| flight_id | 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?
Annotations already declare destructiveHint: true, so the description's 'Remove' is consistent. However, it adds no extra behavioral context beyond what annotations provide (e.g., irreversibility, impact on related data). The description is adequate but not enhanced.
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 a single, concise sentence with no redundancy. It is front-loaded with the verb and object, and every word is necessary.
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 (one parameter, no output schema) and that annotations cover the destructive nature, the description is minimally complete. However, it could mention that the operation is permanent or that the flight must exist, though not strictly required. It is adequate but lacks any extra context.
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 0%. The description does not mention the flight_id parameter or its purpose. Although the parameter name is self-explanatory, the description fails to compensate for the lack of schema coverage, leaving the agent to infer the identifier's role.
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 'Remove a flight from the trip' clearly states the action (remove) and the resource (flight) within the trip context. It is specific and distinguishes from sibling delete tools for other entities.
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 gives the purpose but no explicit guidance on when to use this tool vs alternatives or any prerequisites. The context (deleting a flight) is implied but no exclusions or alternative references are provided.
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.
Each tool targets a distinct resource and action (e.g., create_flight vs create_activity vs create_stay), and descriptions clarify overlaps like stay vs accommodation. The only potential confusion (create_activity covers travel legs) is explicitly explained, so misselection is unlikely.
All tools follow a consistent verb_noun pattern using standard verbs: create, delete, get, list, search, set, update, add, remove, leave. Nouns are consistently singular and descriptive (passport, journey, stay, flight, accommodation). No mixed conventions or vague verbs.
With 36 tools, the count is higher than typical, but the server covers a wide domain: journeys, stays, activities, flights, accommodations, visas, documents, preferences, and sharing. Each entity has CRUD operations plus search and status, so the count is justified, though bordering on heavy.
The tool surface is remarkably complete: full CRUD for every entity (journeys, stays, activities, flights, accommodations, visas), user profile access (get_me), search utilities, sharing controls (join links, member management), and preferences. No obvious dead ends or missing lifecycle steps; even edge cases like deleting bookings before stays are handled.