Skip to main content
Glama

List pixel icons

list_icons

List the built-in pixel icon ids for generate_pixel_art_qr, with an ASCII preview of each 16x16 icon.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden for behavioral disclosure. It explicitly states that the tool returns icon IDs and includes an ASCII preview of each 16x16 icon, which are the key behaviors. For a read-only listing tool, this is sufficient and transparent, though it does not mention performance or return format details beyond the preview.

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 sentence, front-loaded with the main action, and every phrase adds value: 'built-in', 'for generate_pixel_art_qr', and 'ASCII preview of each 16x16 icon' all contribute to understanding. There is zero waste.

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

Completeness5/5

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

For a simple, zero-parameter listing tool with no output schema, the description is complete. It explains the purpose, the output (IDs and ASCII preview), and the target tool (generate_pixel_art_qr), which is sufficient for an agent to understand what to expect and when to invoke it.

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, so the schema provides no meaning to add. Per the rubric baseline, 0 params warrants a 4. The description does not need to explain any parameter semantics because there are none.

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 ('List') and identifies the exact resource ('built-in pixel icon ids') and connects it to 'generate_pixel_art_qr', distinguishing it from the sibling tool 'list_themes'. It clearly states the tool's purpose and output, leaving no ambiguity about what it does.

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 implies when to use this tool: when you need icon IDs for generate_pixel_art_qr. It provides clear context but does not explicitly mention alternatives or when-not-to-use scenarios, though the sibling list_themes suggests a natural parallel for themes. This is clear context without exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a distinct purpose: decode_qr is for reading, generate_qr is standard generation, generate_pixel_art_qr is artistic generation, and list_icons/list_themes provide supporting metadata. The two generation tools are clearly differentiated by name and description.

Naming Consistency5/5

All tool names follow a consistent lowercase_snake_case verb_noun pattern (decode_qr, generate_qr, generate_pixel_art_qr, list_icons, list_themes). No mixed conventions or vague verbs.

Tool Count5/5

5 tools is an ideal size for a focused QR code utility. It covers generation, artistic generation, decoding, and option discovery without unnecessary bloat.

Completeness5/5

The domain of QR code creation/decoding is well covered: standard generation, pixel-art generation with customization, decoding with content type detection, and lookups for available icons/themes. No critical operations are missing.

Resources