option_vol_shfe

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the source URL and return type (pandas.DataFrame) but does not disclose other behavioral traits like rate limits, pagination, or the exact content of the returned data beyond the generic '日频行情数据'.

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 reasonably concise and well-structured: a brief title, source URL, and clear parameter/return documentation. It front-loads the key purpose. However, it repeats the title already present in the annotations, which is a minor redundancy.

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 should clarify what the returned DataFrame contains (columns like open, high, low, close, volume, open interest). It only says 'daily market data', which is sufficient for high-level selection but incomplete for understanding the exact data shape. The parameter and safety context are adequately covered.

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 0%, but the description compensates by listing all valid symbol choices (e.g., 铝期权, 铜期权) and explaining that trade_date is a trading day. It adds meaning beyond the bare property names and defaults, though it does not specify the date format (implied by the default '20250418').

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 Shanghai Futures Exchange option daily market data, with a specific resource (SHFE options) and frequency (daily). It is distinct from siblings like option_vol_gfex (GFEX) and option_hist_shfe, though it lacks an explicit verb such as 'get' or 'fetch', relying on the noun phrase '日频行情数据'.

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. It does not specify when this option data source is preferred, nor does it exclude cases or mention sibling tools that might be more appropriate. The description only states what data it returns, not how to choose it.

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