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Favicon & App Icons

Search favicon and app icons

search_icons
Read-onlyIdempotent

Use this when someone needs an icon, emoji, or brand mark to use as a favicon or app icon. Searches Iconify and returns ready-to-use prefix:name values plus the generate_iconset options.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional search term to find Iconify icon/emoji names, e.g. 'fox', 'rocket', 'github'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes
guidanceYes
iconResultsYes
inputSchemaYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds real context beyond that: the backing source (Iconify) and that results are ready-to-use prefix:name values feeding generate_iconset options.

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?

Two sentences, zero filler: the usage trigger is front-loaded and the behavioral detail follows. Nothing is redundant with the title or annotations.

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?

With an output schema present, return values needn't be explained, and the description covers use case, source, and output type. The only gap is that it doesn't clarify its position relative to check_favicon, which an agent selecting among three icon tools would want.

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 single 'query' parameter is fully documented in the schema (100% coverage), and the description adds nothing about syntax, matching behavior, or what happens when query is omitted. Baseline 3 applies since the schema carries the load.

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 (searches) and resource (Iconify icon/emoji/brand-mark names), and even previews the return shape ('prefix:name values'). It implies a relationship to generate_iconset but never distinguishes itself from check_favicon, so sibling differentiation is incomplete.

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 opening clause gives a clear when-to-use trigger ('when someone needs an icon, emoji, or brand mark to use as a favicon or app icon'). It offers no when-not condition or explicit routing to check_favicon/generate_iconset as alternatives, so it stops short of full guidance.

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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