Hugeicons

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the search functionality and input format, but lacks details on behavioral traits such as pagination, rate limits, authentication needs, error handling, or what the response looks like (e.g., format, fields). This is a significant gap for a tool with potential complexity in search results.

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

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

The description is appropriately sized and front-loaded, with two concise sentences that directly address the tool's function and usage. Every sentence earns its place by providing essential information without redundancy or fluff.

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

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

Given the tool's complexity (search functionality with potential for varied results), lack of annotations, and no output schema, the description is incomplete. It covers basic usage but omits critical context such as response format, error conditions, or limitations (e.g., search scope, result ordering). This leaves gaps for an AI agent to invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter with 0% description coverage, so the description must compensate. It adds meaningful context by explaining that the 'query' parameter is used to search 'by name or tags' and provides an example syntax ('Use commas to search for multiple icons'), which clarifies the parameter's purpose beyond the bare schema. However, it doesn't detail constraints like character limits or tag format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Search') and resource ('icons'), and specifies search criteria ('by name or tags'). However, it doesn't explicitly differentiate this search functionality from sibling tools like 'list_icons' or 'get_icon_glyphs', which might also retrieve icons in some manner.

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

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

The description provides implied usage guidance by mentioning how to search for multiple icons ('Use commas to search for multiple icons'), which suggests this tool is for query-based retrieval rather than listing all icons. However, it doesn't explicitly state when to use this tool versus alternatives like 'list_icons' or 'get_icon_glyphs', nor does it mention any exclusions or prerequisites.

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