lounge_remove_from_wishlist
Read-onlyDestructive
Remove a lounge from your wishlist.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lounge_slug | Yes | Lounge slug (from search results) |
Award Travel Finder
TDQS
B3.1/5.0
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description states 'Remove', a destructive mutation, but annotations declare readOnlyHint: true, which typically indicates a read-only operation. This directly contradicts the description and annotations conflict with each other (readOnlyHint true vs destructiveHint true). The agent cannot trust whether this modifies state.
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 a single, concise, front-loaded sentence with no filler. Every word is necessary and clear.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool without an output schema, the description is mostly sufficient. However, the contradictory annotations leave the agent uncertain about whether the operation is read-only or destructive, creating a meaningful gap in understanding the tool's behavior.
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%, with lounge_slug already documented as 'Lounge slug (from search results)'. The description adds no further parameter explanation, but since the schema fully covers it, the baseline of 3 is appropriate.
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 uses a specific verb ('Remove') and resource ('lounge from your wishlist'), clearly distinguishing this tool from sibling tools like lounge_add_to_wishlist and lounge_get_my_wishlist. The action and object are unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit when-to-use or when-not-to-use guidance, and does not mention alternatives. It is a simple operation, but the instructions ask for guidance beyond the obvious; none is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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Glama MCP Gateway
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TDQS
B3/5.0
Disambiguation2/5
Several tools are near-duplicates (log_lounge_visit vs lounge_mark_lounge_visited, delete_lounge_visit vs lounge_delete_visit, audit_hotel_folio vs audit_marriott_folio) and the award-chart tools (get_pricing, get_program_rates, get_partner_award_options, get_program_partner_chart) have unclear boundaries. The three discover_more_flight_tools variants and overlapping lounge/portfolio listers compound the ambiguity, so an agent can easily pick the wrong one.
Naming Consistency3/5
Most tools use snake_case verb_noun names and many have consistent prefixes (cards_, lounge_, fs_, sw_), but prefixes are applied inconsistently: log_lounge_visit/delete_lounge_visit sit outside the lounge_ prefix while equivalent lounge_* tools exist, and fs_search_flight references a non-existent search_flight. The broad get_/list_/search_ verbs are predictable, but the mixed domain-prefix style and duplicate concepts hurt coherence.
Tool Count1/5
136 tools is far beyond a well-scoped server and bundles at least eight distinct domains (award search, cards, hotels, lounges, seatmaps, wifi, Viator, feedback). Many tools could be split into separate MCPs without loss of coherence, and the sheer count makes selection and prompt overhead prohibitive.
Completeness4/5
The core award-travel domain is well covered: bookings, hotels, points balances, statuses, vouchers, monitors, trips, and cards all have lifecycle CRUD, plus search and reference tools. Minor gaps exist (e.g. no true delete for standing orders, no single get for route monitors, and the Viator pair is an isolated mini-domain), but agents can generally complete workflows without dead ends.