get_styling_advice

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

No annotations are provided, so the description must carry the full burden. It only states the action and criteria, without disclosing whether the operation is read-only, what the response contains, or any side effects. This is insufficient for a recommendation tool, though not misleading.

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, focused sentence. It is front-loaded with the action and efficiently lists the input categories without extraneous detail.

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?

The description covers the core purpose and input dimensions, but with no output schema or annotations, it leaves ambiguity about the return format (e.g., product list vs. text advice) and whether the parameters are exclusive ('or') or combinable. This makes it adequate but not fully complete.

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 covers 100% of the parameters with descriptions, so the baseline is 3. The tool description merely restates the parameter categories ('occasion, style preference, or budget') without adding further clarification on how parameters interact or examples of valid values.

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 uses a specific verb ('Get') and clearly identifies the resource ('styling recommendations from The Bag Kenya's collection') and the basis ('occasion, style preference, or budget'). It distinguishes this advice-giving tool from the product browsing and search sibling tools.

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 implies its use case with clear input criteria, but it does not explicitly contrast it with sibling tools like browse_products or search_products, nor does it state when not to use it. The context is clear, but there are no exclusions or alternative guidance.

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