美股新闻情绪

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

No annotations are provided, so the description carries full burden. It only discloses the API key environment variable requirement. It does not mention rate limits, read-only nature, or any side effects. For a data retrieval tool, more behavioral context is needed.

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 only two short sentences, containing no unnecessary words. It is front-loaded with the core purpose and then the prerequisite, making it highly efficient.

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?

The description lacks detail about the output format (e.g., news titles, sentiment scores), which is critical since no output schema exists. It also does not mention default behavior for the limit parameter or pagination. Given the tool's complexity (3 parameters, sentiment analysis), the description is insufficient.

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?

Schema coverage is 100%, so the input schema already documents all three parameters. The description adds the API key requirement, which is helpful but not parameter-specific. It does not enhance understanding of parameter values beyond what the schema provides, thus baseline 3 is appropriate.

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 the tool retrieves US stock news and sentiment analysis data, with optional symbol and topics parameters. It distinguishes itself from sibling tools like stock_news (likely Chinese) and stock_news_global (global) by specifying '美股' (US stocks).

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 provide any guidance on when to use this tool vs alternatives like stock_news or stock_news_global. It mentions an API key prerequisite but no exclusion criteria or context for choosing this tool over others.

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