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

With no annotations, the description carries the behavioral burden. It discloses meaningful traits: only in-stock items are considered, results are sorted cheapest first, a simple combo suggestion is included, and only public fields such as VND price are returned. It does not detail pagination or side effects, but for a recommendation read operation this is reasonable.

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 compact and front-loaded, with the core behavior stated first and the Vietnamese repetition adding accessibility. The bilingual duplication costs some brevity, but it remains concise and each part serves a clear audience.

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 0 required parameters, no output schema, and no annotations, the description covers the essential invocation behavior: filtering, ordering, combo behavior, and the public-data restriction. It could be more precise about the exact output shape, but it is sufficient for a low-complexity recommendation tool.

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 descriptions cover all four parameters at 100%, so the description does not need to add much. It reinforces how budget, keyword, and category relate to the recommendation logic, but adds no meaning beyond the schema for limit.

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 states a specific action ('Recommend in-stock public products'), explicit filters ('by budget and/or keyword/category'), and distinctive behaviors ('cheapest first, with a simple combo suggestion'). This clearly separates it from siblings like search_products, latest_products, and similar_products.

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?

It provides clear context for when to use the tool: when the user wants affordable, in-stock recommendations filtered by budget, keyword, or category. It does not explicitly name alternatives or exclusion conditions, so it stops short of the highest bar.

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