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

No annotations are supplied, so the description carries the burden; it does disclose scope (a forward-looking 預告 of upcoming events) and a concrete data source (TWSE TWT48U), which is real added context. It stops short of covering read-only nature, pagination, or return shape.

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 line that front-loads the resource and then lists the returned fields with zero filler. Every clause contributes information.

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 and no annotations, the description compensates by enumerating the returned fields and citing the source, which is enough to call a one-param read tool correctly. The main gap is the lack of differentiation from get_tw_dividend and get_etf_dividends.

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 single optional 'code' filter is fully documented in the schema itself ('不填回傳全部'). The description adds nothing beyond that, 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?

States a specific resource (Taiwan stock ex-rights/ex-dividend announcements) and enumerates the data it surfaces (ex-date, dividend type, cash dividend, stock ratio). It also flags ETF coverage, which loosely separates it from ETF-only siblings, but never names get_tw_dividend or get_etf_dividends to draw a clean boundary.

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 guidance on when to pick this over the very similar sibling get_tw_dividend, nor any note that it covers upcoming events only. The agent must infer usage purely from the tool name.

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