option_hist_gfex

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds the data frequency (daily) and type (volume/price) plus a source URL, but does not disclose non-obvious behavioral traits such as pagination, date range limits, or return column details.

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 a compact docstring with a title, source URL, parameter documentation, and return info. It is front-loaded with the key purpose, contains no redundant sentences, and every line serves a clear function.

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 simple 2-parameter read-only tool, the description covers data source, parameters, and return type. However, it does not explicitly state this is option data (relying on the tool name), and it lacks detail on returned columns or date format, which would be helpful given the absence of an output schema.

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 coverage is 0%, so the description compensates by documenting trade_date as '交易日' and symbol as a choice of {'工业硅', '碳酸锂'}. It also states the return type. The date format is not explicitly described but is implied by the default '20230724', and symbol choices are enumerated.

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 '广州期货交易所-日频率-量价数据' (Guangzhou Futures Exchange daily volume/price data) and returns a pandas DataFrame, indicating it retrieves historical market data. It distinguishes from siblings like option_vol_gfex (volatility) and option_hist_czce (other exchange) by specifying the exchange and data type, though it uses a noun phrase rather than an explicit verb.

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?

The description offers no explicit when-to-use or alternative guidance. It does not mention that for other exchanges one should use option_hist_czce/dce/shfe, nor when to prefer this over option_vol_gfex. The usage context is only implied by the exchange and data frequency.

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