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

Despite no annotations, the description discloses read-only behavior, no api_key requirement, public-fields-only output, in-stock filtering, and cheapest-first ordering. It doesn't describe response structure or edge cases, but it carries most of the behavioral burden for a safe read-only call.

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?

English is front-loaded and compact, with usage guidance clearly labeled. The Vietnamese repetition adds some token redundancy but doesn't obscure 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?

For a simple optional-parameter read tool with many siblings, the description provides purpose, behavior, sort order, auth requirements, scope source, and alternatives. No output schema exists, so exact return fields are not specified, but the description names public fields and price VND.

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 already covers all four parameters at 100%, so baseline is 3. The description adds value by clarifying that budget and keyword/category can be combined ('and/or') and by pointing to list_categories as the source of category_id.

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?

Description opens with a specific verb and resource: recommend in-stock public products, and specifies selection criteria (budget, keyword/category), ordering (cheapest first), and combo suggestion. It also contrasts with sibling tools, so an agent can distinguish it from search_products, best_sellers, latest_products, and list_category_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?

Contains an explicit 'WHEN TO USE' section (budget or vague need) and a 'PREFER INSTEAD' routing table naming four sibling tools and their exact selection conditions. This fully resolves tool-selection ambiguity.

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