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

With readOnlyHint=true and openWorldHint=false already covering the safety profile, the description still earns credit for disclosing data freshness (re-checked nightly), result ordering (most widely sold first), a hard result cap (up to 10), and the laptop-only nested model_page behavior. It does not cover auth needs or what happens on zero matches, which keeps it short of a 5.

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?

Three tight sentences with no filler: purpose and scope first, then return shape and ordering, then the laptop-specific nuance. Information-dense without being padded. Slightly crowded but front-loaded correctly.

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 steps in to describe the returned shape (products, lowest price, shop count, page link) and the model_page expansion, which is exactly what an agent needs before calling. Minor gaps remain: the effect of the limit parameter and behavior on empty results are unstated.

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 description coverage is 75%, so the schema already documents query, category and max_price_usd, establishing the baseline of 3. 'Returns up to 10 products' loosely relates to the limit parameter's maximum of 10 but does not explain the parameter's role, and the description adds nothing about category enum values or how max_price_usd interacts with the returned lowest price.

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 gives a specific verb and resource ('Find electronics sold in Lebanon and their live prices across Lebanese shops') plus clear scope (USD, nightly re-check). An agent can tell this is a keyword-search-over-catalog tool. However, it never names or contrasts the siblings (cheapest_in_category, get_product_prices, price_history), so the boundary with get_product_prices in particular is left to inference.

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 none of the three sibling tools are mentioned. The agent must infer usage purely from the verb 'Find' and the sibling names. No exclusions or routing conditions are provided.

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