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

With no annotations, the description carries the full disclosure burden. It usefully states scope constraints beyond a bare resource name: after-market data (盤後), listed stocks only (上市股票), and unit as lots (張), plus the specific ranked outputs. It does not cover return shape, freshness/update cadence, or auth, so it is adequate but incomplete.

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 with a leading category tag, listing the returned content without filler. Every clause names a distinct output, though the bracketed tag is slightly noisy. Appropriately sized and front-loaded.

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?

No output schema exists, so the description must carry return-value burden, and it does enumerate the content categories (balances/changes, market ranking, top-20 foreign holdings). With only one optional parameter already covered by the schema, the definition is nearly complete aside from update frequency.

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%, so the single optional 'code' parameter and its default behavior are already fully documented in the schema. The description adds no syntax or format detail beyond what the schema provides, which is the baseline-3 case.

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 resource (台股盤後籌碼) and enumerates concrete data sets: 融資融券餘額與增減, 全市場融資增減排行, 外資持股比率前 20. An agent can tell this is a margin/short-interest chips tool, distinct from quote, dividend, or news siblings. It stops short of naming which sibling to use instead, so it is clear but not differentiating.

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 prerequisites, and no routing to alternatives such as get_tw_market_quotes or get_stock. The only behavioral hint (default returns AI 題材股與排行) lives in the schema parameter text, not the description. Usage must be inferred.

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