index_fi_cx

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering the safety profile. The description adds a source URL and return type, which is some useful context. However, it does not describe data shape, potential size, or any other behavioral traits, so the added transparency is minimal but not contradictory.

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 very short (4 lines) and includes relevant information: URL, return value, and return type. The first line repeats the title, which is slightly redundant, but overall it is efficient and front-loaded with the source URL. It earns a high score for conciseness.

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?

With no output schema and no parameter explanations, the description should clarify what the returned DataFrame contains. It only says '融合指数' (fusion index) without explaining its meaning, columns, or granularity. The URL provides a reference but is not self-contained. This is insufficient for a data-returning tool, even with good annotations.

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 zero parameters and the schema has no properties (100% coverage by default since nothing needs documenting). The description does not need to explain any parameters. Baseline 4 is appropriate for a no-parameter tool.

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 repeats the tool's title (财新数据-指数报告-融合指数) and simply states the return value is 融合指数 with a URL. It does not explain what the fusion index is or what data it contains, making it largely a tautology of the name. No clear verb or resource description distinguishes it from sibling index tools.

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. There are many sibling index_*_cx tools (e.g., index_ai_cx, index_si_cx) with similar naming, but the description does not mention any differences or appropriate usage scenarios, leaving the agent without any decision support.

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