option_finance_board

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the description does not need to restate safety. It adds context by listing the data sources (SSE, SZSE, CFFEX URLs) and the return type (pandas.DataFrame). However, it does not disclose potential caveats like data availability timing or behavior when a requested contract month is invalid, which is useful but not critical given the annotations.

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 verbose relative to its content. It starts with a purpose sentence, then a long sentence listing instruments, followed by four exchange URLs that are not actionable for an agent. The instrument list is repeated in the :param section, creating redundancy. The structure is acceptable, but the waste reduces clarity and focus.

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?

The description states the purpose, parameters, and return type, but leaves critical details unspecified. There is no output schema, so the agent is not told what columns the DataFrame contains (e.g., open, high, low, close, volume). The end_month parameter format is also ambiguous, which is important for contract selection. The listing of covered options is helpful, but the tool feels incomplete for programmatic invocation.

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 schema properties have no descriptions (0% coverage), so the description must compensate. It provides a list of allowed values for symbol (9 choices) and a comment for end_month ("2003; 2020年3月到期的期权"). The symbol list adds real meaning, but the end_month explanation is ambiguous and appears garbled, leaving format expectations unclear despite the default '2306'. Thus it partially compensates but not fully.

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 clearly states the tool provides current trading day option market data ("期权当前交易日的行情数据") and enumerates specific underlying instruments (e.g., 华夏上证50ETF期权, 沪深300股指期权). It also lists source URLs and return type, which gives a concrete scope. However, it does not explicitly distinguish itself from sibling tools like option_current_em, so differentiation is only implicit.

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?

No guidance is given on when to use this tool versus alternatives. There are no exclusions or references to other tools for historical data or other option types. The only hint is the temporal scope ("当前交易日"), but this is not framed as usage guidance.

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