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lounge_remove_from_wishlist

DestructiveIdempotent

Remove a lounge from your wishlist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lounge_slugYesLounge slug (from search results)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations indicate destructiveHint=true and idempotentHint=true, so the description is not required to repeat those. The description adds a value beyond annotations by specifying the operation's target (wishlist removal), which is clear from the verb. No contradiction with annotations.

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, succinct sentence that clearly states the action. There is no unnecessary content, and it is front-loaded with the core verb.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple tool with one parameter, no output schema, and annotations covering safety/idempotency, the description is nearly complete. Minor gap: it does not indicate what happens if the lounge is not in the wishlist or how to find the slug, but the schema covers the slug's origin.

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?

The input schema fully describes the parameter 'lounge_slug' with a reference to search results, achieving 100% schema description coverage. The description does not add further semantic detail, but the baseline of 3 applies given high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the verb 'remove' with the resource 'lounge' and the target 'wishlist', clearly indicating the action. However, it does not explicitly differentiate from the sibling 'lounge_add_to_wishlist' or 'lounge_get_my_wishlist', though the verb is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no explicit guidance on when to use this tool versus alternatives or exclusions. The existence of 'lounge_add_to_wishlist' and 'lounge_get_my_wishlist' implies the usage context, but the description does not state it.

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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