baidu_sentiment

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

No annotations provided, so description carries full burden. It only states the basic function without disclosing behavioral traits like rate limits, request limits, or output specifics. The pricing info is included but not behavioral.

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?

Very short and to the point, but includes pricing info which is somewhat extraneous. However, it does not waste words and is easily scannable.

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?

Tool has one parameter and no output schema, yet description does not explain return values or behavior. For an NLP tool, more context on output format would be helpful. Incomplete for an agent to fully understand usage.

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% with a single parameter described in the schema (待分析文本). The description adds no additional meaning beyond the schema's description, so 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 it's for sentiment analysis (positive/negative judgment), using specific verb and resource. It distinguishes from sibling tools like baidu_nlp and baidu_keyword_extraction by focusing on sentiment polarity.

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?

Implied usage via the NLP tag and sentiment focus, but no explicit when-to-use or when-not-to-use. No alternatives or exclusions mentioned, though context suggests it for sentiment tasks.

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