stock_buffett_index_lg

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds minimal context by giving the source URL and return type (pandas.DataFrame), but does not disclose any behavioral traits such as data update frequency, return size, or whether network access is required. This is acceptable given the simple nature of the tool.

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 compact, containing only the tool title, URL, and return type in a structured docstring-like layout. It is front-loaded with the most important information, though the formatting is a bit odd with mixed Chinese and technical tokens. It is appropriately sized for a no-parameter read-only tool.

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 the tool's low complexity (no parameters, read-only, simple return), the description is nearly adequate. It states the data source and return type, but does not specify what the DataFrame contains (e.g., time series, columns, historical vs. current). An agent would need external knowledge of the Buffett Indicator to fully understand the output. This is a minor gap for a simple tool.

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, so the schema fully covers the input space. According to the rubric, 0 parameters yields a baseline of 4. The description does not need to add parameter information since there are none.

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 states that the tool returns the 巴菲特指标 (Buffett Indicator) and provides the source URL. It uses an implied 'return' verb, and the tool name itself is explicit. However, it does not explain what the Buffett Indicator is or distinguish it from other valuation indicators, so it is not a perfect 5.

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 guidance is provided on when to use this tool versus alternatives. There is no mention of intended use cases, prerequisites, or exclusions. The description only gives a URL and return type, so the agent receives no decision-making support.

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