index_option_kcb_qvix

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

Annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds the return type (pandas.DataFrame) and a source URL, but provides no additional behavioral context like update frequency, data history depth, or network dependency. It does not contradict the annotations, but adds only minimal value beyond them.

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 short but redundant, repeating '科创板 期权波动率指数 QVIX' twice and including a raw URL. It is structured like a docstring label rather than a concise explanation, yet it does front-load the core name and remains compact.

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 zero-parameter, read-only, idempotent tool, the description conveys the basic purpose and return type, but omits useful details such as whether the data is historical, the column structure, or the frequency of the QVIX values. Since there is no output schema, more context would improve completeness, but the current description is minimally viable.

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 tool has no parameters and the input schema is empty, so parameter documentation is not needed. Per the baseline for a zero-parameter tool, the description is not required to explain parameter semantics, and the schema coverage is effectively 100%.

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 identifies the tool as the '科创板 期权波动率指数 QVIX' (STAR Market Option Volatility Index) and includes a :return: clause indicating a pandas.DataFrame. This clearly names the specific index and resource, and the KCB/STAR Market designation distinguishes it from sibling QVIX tools. However, it is more a title than an explicit action statement, so it lacks the full clarity of a verb-driven description.

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 gives no guidance on when to use this tool versus alternatives such as index_option_300etf_qvix or other QVIX variants. It only states what it returns, without any selection criteria, prerequisites, or exclusions, leaving the agent to infer usage from the tool name alone.

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