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

Annotations already indicate read-only and non-destructive behavior. The description adds that it evaluates scalp visibility and hair distribution patterns, but does not mention asynchronous polling behavior (evident from the polling parameter) or how results are returned. It does not contradict annotations.

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 a single long, marketing-heavy sentence with redundant claims like 'empowering businesses' and 'expert-level personalization at scale'. It is not concise and contains fluff that could be removed without losing core meaning.

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?

Although the output schema likely covers return values, the description omits critical operational context such as the asynchronous task nature (implied by polling parameter) and the need for a publicly accessible URL or file ID. It provides sufficient purpose but lacks practical usage details.

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 schema already documents the polling flag and request sub-fields (src_file_url and src_file_id) with examples. The description adds minimal parameter meaning, only vaguely referencing a single uploaded image, so it does not significantly enhance understanding beyond the schema.

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 performs a photo-based assessment that classifies hair density into four levels using scalp visibility and hair distribution patterns. This specific verb+resource+outcome clearly distinguishes it from sibling tools like AI-Hair-Length-Detection or AI-Hair-Type-Detection.

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 clear context for when to use the tool: for businesses wanting fast, professional, photo-based hair density assessment without physical tools. However, it does not explicitly state when not to use it or mention alternatives.

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