index_bi_cx

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the read-only nature is clear. The description adds the source URL and return type but no additional behavioral details such as data freshness, limitations, or time-series scope. With annotations covering safety, this is adequate but not enriched.

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 extremely concise, consisting of a title, URL, return annotation, and return type. It has no wasted words and is front-loaded. However, it's more a docstring fragment than a coherent description, so it earns a 4 rather than a 5.

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?

Given no output schema, the description only states that it returns a pandas DataFrame of '基础指数', which is vague and doesn't describe columns or meaning. The tool is simple with no parameters and has annotations for safety, which partially compensates, but the return data is under-described.

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?

There are zero parameters, so the schema fully covers the input surface (vacuously). The description provides no parameter-specific semantics, but none are needed. Per baseline for 0 params, this scores 4.

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 resource as '基础指数' (basic index) from Caixin Data and includes a source URL, but it lacks a verb specifying the action. The return annotation '基础指数' implies retrieval, but the purpose is not explicitly stated as an operation. It doesn't differentiate from the many sibling index_*_cx 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?

No usage context is provided. The description gives no indication of when to choose this tool over alternatives like index_ai_cx or index_si_cx. It doesn't mention any prerequisites, frequency, or exclusion criteria, leaving the agent without guidance for selection.

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