get_cffex_daily

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered structurally. The description adds genuine context beyond that: the historical data start date (20100416) and the pandas.DataFrame return type. It does not mention rate limits, update cadence, or whether data is end-of-day finalized.

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 entry is short and front-loads the resource identity, then the parameter note, then the return type. The source URL and Sphinx-style :type:/:rtype: tags are slightly noisy but each clause conveys something usable, with no padding.

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 single-optional-parameter tool with a default and no output schema, the description covers what the tool returns (daily trading data), the return type, the parameter meaning, and the historical floor. Annotations handle the safety profile. What is missing is the exchange scope note (financial futures only) and date-format handling, but the core is present.

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%, so the description carries the meaning burden. It usefully clarifies that date means 交易日 (a trading day, not a calendar day) and gives the earliest valid value 20100416, plus str type. It still does not state the expected date format explicitly (only implied by the default) or how invalid/holiday dates are handled, so it does not fully compensate for the coverage gap.

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 names a specific resource – 中国金融期货交易所 (CFFEX) daily-frequency trading data – which clearly distinguishes it from the sibling exchange tools get_czce_daily, get_dce_daily, get_shfe_daily and get_gfex_daily. The verb is implicit in the get_ prefix and the source URL. It stops short of 5 because it never explicitly contrasts itself with the generic get_futures_daily sibling.

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 when-to-use or when-not-to-use guidance, and no mention of the alternative tools that fetch the same kind of data for other exchanges. The exchange name in the title implicitly scopes usage, but the agent is left to infer routing entirely 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.