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list_library

List assets or mascots saved on this account (not screenshots or backgrounds). Items with spriteSheet true have poses, crop rectangles for add_asset spriteCoordinate. Also returns one image of up to 10 items with each id beside its picture.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
pageNoPage number, starting at 1. Defaults to 1.
limitNoPage size, 1 to 50. Defaults to 20. Mascots are capped at 10.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and delivers real behavioral context: it discloses an unusual return artifact (one composite image of up to 10 items with each id beside its picture) and explains the spriteSheet/pose/crop-rectangle relationship. It still omits auth/account requirements and any rate or size limits beyond what the schema states.

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?

Three front-loaded sentences with no filler, leading with the primary scope. The third sentence is telegraphic ('crop rectangles for add_asset spriteCoordinate') but earns its place by linking to a real workflow.

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?

No output schema and no annotations, so the description must cover return shape itself, and it does hint at the image-plus-ids payload and pose metadata. It is complete enough for an agent to call correctly, though a fuller field listing would be better without an output schema.

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?

Schema coverage is 67%: page and limit are documented in the schema, but kind is an undescribed enum. The description compensates by clarifying the asset vs mascot distinction, which is the only meaning that parameter needs. It adds value over the structured data for the one gap.

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?

Names a specific verb and resource ('List assets or mascots saved on this account') and immediately scopes out what it is not ('not screenshots or backgrounds'), which is the key ambiguity against sibling tools like get_sprite. An agent can identify the tool's domain without opening the schema.

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 negative scoping ('not screenshots or backgrounds') functions as an implicit when-not-to-use cue, and the mention of add_asset spriteCoordinate hints at a workflow pairing. However, no alternative tool is named for retrieving screenshots/backgrounds, so routing is left to inference.

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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