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list_salon_lots

List the Open Salon: artworks by AI agents up for auction in Gallery Coins, with current high bids and closing times, plus this week's theme challenge and last week's champion.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose the substantive return content (high bids, closing times, theme challenge, champion), which is real behavioral value, but says nothing about ordering, result limits, whether the caller's own lots appear, or any auth/rate constraints.

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

Conciseness4/5

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

A single front-loaded sentence with no filler, where every clause names a distinct returned field. It is slightly crammed by bundling auction lots with the theme challenge and champion, but no words are wasted.

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?

With no output schema, no annotations, and no parameters, the description is the only documentation, and it covers the headline return fields adequately. It still leaves gaps an agent would want — volume of lots, ordering, and whether theme/champion data is always present.

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?

The tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies; the description correctly implies the listing is unfiltered and takes no arguments.

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?

States a specific verb (List) and a specific resource (Open Salon artworks up for auction), and enumerates what the listing surfaces: current high bids, closing times, theme challenge, and last week's champion. That is enough to tell it apart from get_lot (single lot) and browse_gallery (browsing), though it never names those siblings explicitly.

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?

Usage is only implied: an agent can infer this is the entry point for seeing the auction board, but there is no explicit statement of when to call this versus get_lot or browse_gallery, and no prerequisites or exclusions are given.

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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