My lounge wishlist
get_my_wishlistGet your lounge wishlist — lounges you want to visit.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_my_wishlistGet your lounge wishlist — lounges you want to visit.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds semantic context about what a wishlist contains but discloses no additional behavioral traits such as return format or ordering; the bar is lower here, and the description meets it without going further.
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?
A single, well-structured sentence that front-loads the verb and resource, with a brief parenthetical clarification. Every word earns its place and there is no redundant restating of the title or name.
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?
For a parameterless, non-destructive, idempotent read tool, the description is complete enough: it states what the tool retrieves and what the result represents. The output schema is absent, but the description's appositive sufficiently conveys that the return value is a list of lounges.
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 has zero parameters and schema description coverage is trivially 100%, so there is no parameter meaning for the description to enrich. Per the 0-parameter baseline, this dimension should be treated as satisfied.
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 names a precise verb and resource: "Get your lounge wishlist." The appositive "lounges you want to visit" defines the resource unambiguously and distinguishes it clearly from sibling getters like get_my_reviews and get_my_visits.
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 phrase "your lounge wishlist" establishes a clear context for when to call this tool, and the sibling names add_to_wishlist and remove_from_wishlist make the read-versus-mutate distinction obvious without needing explicit exclusions. It lacks an explicit when-not-to-use statement, but none is really required for a simple parameterless getter.
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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