美股新闻情绪

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

Without annotations, the description carries full burden but only states the tool fetches news and sentiment. It does not disclose rate limits, pagination, error handling, or data freshness. The only behavioral hint is the API key requirement.

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 two sentences, concise and direct. First sentence states purpose, second states a requirement. No fluff, but could be slightly more structured with a note about what the output contains.

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 3 parameters, no output schema, and no annotations, the description should provide more context about return values, pagination (limit), or how topics filter works. It only covers purpose and a prerequisite, leaving critical usage details undocumented.

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 baseline is 3. The description adds context that symbol is optional and topics can include values like 'technology' or 'earnings', which is already in the schema. No additional parameter semantics beyond the schema.

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 fetches US stock news and sentiment analysis data, which distinguishes it from sibling tools like stock_news (likely Chinese) and stock_news_global (global). The requirement for ALPHA_VANTAGE_API_KEY further clarifies context.

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 implies usage for US stock news but does not explicitly state when to use this tool over alternatives or when not to use it. It mentions a prerequisite (API key) but no exclusion criteria or comparative guidance.

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