get_cffex_daily

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds some context beyond annotations: the data source URL, the start date 20100416, and the return type as pandas.DataFrame. However, it does not disclose potential rate limits, error handling, or response details beyond the start date.

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 docstring format is structured with separate param/return sections and a source URL, with minimal redundancy. The title is repeated in the first line, but overall it is compact and front-loaded with key information.

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 single-parameter read-only tool, the description covers the source, start date, and return type, which is adequate for basic use. However, it does not describe the columns or contents of the returned DataFrame, nor does it mention whether the date is optional despite the schema default. Given the annotations and simplicity, this is acceptable but not fully complete.

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 has no description for the 'date' parameter (0% coverage), so the description must compensate. It explains that date is a trading day and that data begins on 20100416, providing some semantics. However, it does not explicitly state the required format (e.g., YYYYMMDD) or behavior for invalid dates, only implying format through the default value.

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 explicitly identifies the tool as providing China Financial Futures Exchange (CFFEX) daily-frequency trading data, with a source URL and return type. While it lacks an explicit verb, the tool name 'get_cffex_daily' and the Chinese title make the purpose clear and distinguish it from siblings such as get_cffex_rank_table and futures_settle_cffex.

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 like get_cffex_rank_table or futures_settle_cffex. The description only states what data it returns, leaving the agent to infer usage from the name and title, with no exclusions or alternative recommendations.

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