get_complete_the_look

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only states what the tool does ('Get outfit recommendations') without mentioning any behavioral traits such as rate limits, authentication needs, response format, or potential side effects. For a tool with 9 parameters and no annotations, this is a significant gap in transparency.

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, clear sentence: 'Get outfit recommendations for a product.' It is front-loaded with the core purpose, has zero wasted words, and is appropriately sized for the tool's complexity. Every part of the sentence earns its place by directly stating the tool's function.

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 (9 parameters, no annotations, no output schema), the description is incomplete. It lacks information on behavioral traits, usage guidelines, and output details, which are crucial for an AI agent to invoke the tool correctly. The description alone is insufficient to provide a full understanding of how to use this tool effectively.

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?

Schema description coverage is 100%, meaning all parameters are documented in the input schema. The description adds no additional meaning beyond the schema, as it doesn't explain parameter interactions, default behaviors, or usage examples. With high schema coverage, the baseline score is 3, reflecting that the description doesn't compensate but also doesn't detract from the schema's documentation.

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: 'Get outfit recommendations for a product.' It specifies the verb ('Get') and resource ('outfit recommendations'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'get_style_guide' or 'get_visually_similar,' which would require more specific language about the type of recommendations provided.

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 no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get_style_guide' or 'get_visually_similar,' nor does it specify scenarios or prerequisites for usage. This lack of context leaves the agent to infer usage based on the tool name alone, which is insufficient for optimal selection.

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