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

Beyond the annotations (readOnly, idempotent, non-destructive), it discloses real behavior: cross-site price aggregation, a 'good price' verdict in the result, Arabic/plain-language understanding, and automatic conversion of a natural-language budget into a price filter. It still does not say anything about result count limits, ranking, or what happens when nothing matches.

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?

Two sentences, front-loaded with what the tool returns, followed by usage scope; the example queries are compact and directly illustrative rather than filler. Nothing repeats the title or annotations.

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?

With no output schema, the description carries the burden of describing the return ('lowest current price across Amazon.ae and noon, with whether that price is a good one') and it does so. All 7 parameters are schema-documented, so the definition is complete enough for an agent to call it correctly.

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 coverage is 100%, so the baseline is 3, but the description adds cross-parameter semantics the schema does not: a budget expressed inside 'query' ('under 300', 'between 100 and 200') is translated into the min_price/max_price filters, which tells the agent these can be driven either way. The Arabic/plain-language note reinforces the query parameter's expected form.

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?

States a specific verb and resource ('Find products sold in the UAE') plus the two sources it aggregates (Amazon.ae, noon) and the added value it returns ('their lowest current price ... and whether that price is a good one'). That scope clearly separates it from single-item lookup (get_product) or discovery siblings (similar_products, price_drops).

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?

'Use for any shopping question in the UAE' plus four concrete query examples establishes the intended context well. It gives no explicit exclusions or mentions of the sibling tools for narrower tasks (e.g. get_product for a known item), so the when-not-when is inferred rather than stated.

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