list_products

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

With no annotations, the description carries the full behavioral burden. It discloses the return content (nutrition per serving, ratings, product URLs), which is genuinely useful, but never states that this is a read-only enumeration, whether all flavours are always returned, or in what order. For a zero-parameter read tool the risk is low, so this is a moderate gap rather than a serious one.

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?

A single compact sentence with the brand and resource front-loaded and zero filler. It reads as a noun phrase rather than an action statement, so the verb (list) has to be supplied by the tool name.

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?

For a zero-parameter, no-output-schema read tool, the description covers both scope and the shape of what comes back (per-serving nutrition values, ratings, URLs). Only ordering and completeness guarantees are unstated, which is minor here.

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 tool takes no parameters and the schema is an empty object with 100% coverage, so there is nothing to disambiguate. Baseline 4 applies; the description correctly adds no redundant parameter talk.

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 names a specific resource (KABO's own nutrition shakes) and enumerates the payload fields per flavour (protein, calories, fibre, vitamins, ratings, URLs). The qualifier "KABO's own" implicitly separates it from general food lookups like lookup_food, but no sibling is named explicitly, so the differentiation is inferential rather than stated.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no mention of get_product (single item) or compare_products (comparison) as alternatives. The "KABO's own" scoping does imply that this is the catalogue-wide listing for the house brand, which is enough for an agent to infer usage, but nothing more.

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