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jdsalasca

Aseprite Asset MCP

by jdsalasca

summarize_asset_library

Retrieve compact category and preset navigation metadata for the asset library, minimizing tokens spent on asset discovery.

Instructions

Return compact category and preset navigation metadata for the asset library with minimal tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral disclosure burden. It states that the tool returns compact navigation metadata and emphasizes token efficiency, which covers the core read-oriented behavior. However, it does not describe the return shape or specify that the tool has no side effects, though 'Return' implies a read-only operation.

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, tightly worded sentence that front-loads the primary action ('Return compact...') and packs relevant qualifiers without waste. Every word earns its place.

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?

For a no-argument retrieval tool, the description is largely complete: an agent knows what the tool does and what kind of output to expect. The absence of an output schema makes the return value slightly underspecified, but 'category and preset navigation metadata' is sufficient for a low-risk, zero-parameter tool.

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 has zero parameters and the input schema is an empty object, so the baseline is 4. There are no parameter semantics to document, and the description appropriately focuses on the output rather than inputs.

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 ('Return'), a clear resource ('asset library'), and precise qualifiers ('compact category and preset navigation metadata', 'minimal tokens'). These qualifiers differentiate it from sibling tools like get_asset_library, which would return fuller library content, and get_asset_library_item, which targets a single item.

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

Usage Guidelines4/5

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

The description conveys a clear usage context: call this when you want a token-efficient, high-level navigation overview of categories and presets. It does not explicitly name alternatives or state when not to use it, but the 'compact' and 'minimal tokens' framing gives enough contextual signal for an agent to choose it over more detailed siblings.

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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