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

No annotations are provided, so the description carries the full burden. It does disclose that the close is the latest official TAIEX close and that the results are aggregated into one snapshot, but it does not describe output format, staleness, or any special behavior.

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?

The description is two concise sentences, front-loading the key contents in Chinese and providing an English summary. Every part is useful and there is no filler.

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?

For a zero-parameter snapshot tool, the description lists the main return fields and is sufficient to invoke the tool correctly. It could be slightly more complete by noting the output structure, but the absence of parameters and output schema makes the current text largely adequate.

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?

The tool has zero parameters, so the baseline is 4. There is no parameter documentation needed, and the description correctly focuses on what the returned snapshot contains.

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 identifies a specific resource—a Taiwan market snapshot—and explicitly lists its components: TAIEX close, breadth, sentiment, and Put/Call ratio. This composite scope makes it clearly distinguishable from siblings like market_sentiment or fx_rates.

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 use this tool versus alternatives such as market_sentiment or data_query. The description implies it is for a broad market overview, but it never states when to prefer it over a single-indicator sibling.

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