option_cffex_sz50_daily_sina

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint as safe, so the description only needs to add extra context. It adds that the tool returns a pandas DataFrame and that symbols include call/put identifiers, but it does not disclose potential rate limits, network dependence, or field contents. This is adequate but not rich.

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 compact, using a standard docstring format with param, type, return, and rtype sections. Every line adds value, with no redundant fluff. The title is informative and the structure is clean.

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 tool with rich annotations and no output schema, the description provides enough context: what data it returns, how to get a valid symbol, and the data source. It could provide example symbols or list expected columns, but such detail is not strictly necessary given the tool's simplicity and the cross-reference for symbol discovery.

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 must explain the parameter. It does so effectively: symbol is described as the specific contract code including call/put indicators, and a method to discover valid values is provided via a cross-reference to another function. The type in the schema is string, and the description adds semantic meaning beyond that.

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 identifies the tool's purpose: retrieving daily-frequency market data for a specified SSE 50 index option contract from CFFEX via Sina Finance. The noun phrase '日频行情' and the resource specificity distinguish it from sibling tools like option_cffex_hs300_daily_sina and option_cffex_sz50_spot_sina.

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 implies usage through the '日频' (daily frequency) return type and the title, indicating it is for historical daily data. However, it does not explicitly contrast with spot/list tools or state when not to use this tool. It does provide a helpful pointer for obtaining valid symbol values from option_cffex_sz50_spot_sina.

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