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

No annotations are provided, so the description carries the full behavioral burden. It does disclose the shape of the returned data (lowest, per-store quotes, 90-day stats), which is useful, but omits freshness/caching, data sources, and any cost or rate-limit behavior for what is clearly a multi-source scraping operation.

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 dense sentence that front-loads the bracketed domain tag and then lists the returned price dimensions. No filler, and everything is scannable at a glance.

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 correctly spells out the return fields (current lowest, per-store, 90-day low/high/avg), and the single required parameter is fully documented in the schema. It is nearly complete for a read-only lookup tool, lacking only guidance on input/id discovery.

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 100% and the sole 'id' parameter is documented in the schema with a concrete example ('pchome:DYAJCH-1900JLHPE'). The description adds no parameter meaning beyond the schema, so the baseline of 3 applies.

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 verb (取得) plus resource (單一商品價格) and enumerates exactly what is returned: current lowest price, per-store quotes, and 90-day low/high/average. This makes it clearly distinct from siblings like search_products or list_price_drops, though no sibling is named explicitly.

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 when-to-use guidance, no conditions, and no named alternative. The '[熱門連鎖比價]' tag hints at its domain but an agent gets no rule for choosing this over search_products or list_price_drops when only a product name (not an id) is known.

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