option_vol_gfex

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, providing the core safety profile. The description adds the source URL and allowed symbol values, but does not disclose additional behavioral traits such as pagination, rate limits, or error handling. No contradiction with annotations.

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 type. Each line serves a purpose with no unnecessary fluff.

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 read-only tool with two parameters, the description provides enough to invoke it: data source, parameter semantics, and return type (pandas DataFrame). It does not enumerate output columns, but the implied-volatility context and return type suffice given the simplicity and annotation coverage.

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 descriptions (0% coverage), so the description carries the burden. It adds meaning for both parameters: symbol is limited to {'工业硅', '碳酸锂'} and trade_date is a trading day. However, the exact date format is not explicitly stated, relying on the default value '20230724' to imply YYYYMMDD.

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 as providing daily-frequency contract implied volatility data from the Guangzhou Futures Exchange (广州期货交易所). It specifies the resource (GFEX implied volatility), scope (daily frequency, contracts), and includes a source URL, distinguishing it from sibling tools like option_vol_shfe.

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 does not explicitly state when to use this tool versus alternatives or provide exclusions. Usage is implied by the title and name (GFEX implied volatility), but no alternative tools are mentioned and no conditional guidance is given.

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