get_news_and_sentiments

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves news and sentiments but lacks details on behavioral traits such as data freshness, rate limits, authentication needs, or what 'sentiments' entails (e.g., sentiment scores, analysis). This leaves significant gaps in understanding how the tool operates beyond its basic purpose.

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 appropriately sized and front-loaded, with the main purpose stated first followed by parameter details. It uses two sentences efficiently, avoiding unnecessary elaboration. However, the structure could be slightly improved by integrating the parameter explanation more seamlessly, but it remains clear and concise overall.

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 complexity of retrieving news and sentiments (which implies data processing and potential nuances), the description is incomplete. No annotations exist to cover behavioral aspects, and there's no output schema to explain return values. The description only covers the basic purpose and parameter, leaving gaps in understanding the tool's behavior, output format, and operational context, which is inadequate for effective agent use.

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 description adds meaningful context for the single parameter: it explains that 'ticker' is the 'Stock ticker/symbol' and provides an example ('eg. AAPL'). Since schema description coverage is 0% (the schema only lists the parameter name and type without description), the description compensates well by clarifying the parameter's purpose and format, though it could add more detail on valid ticker formats or constraints.

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's purpose: 'Get the news and sentiments of a particular stock.' It specifies the verb ('Get') and resource ('news and sentiments'), and while it doesn't explicitly differentiate from siblings, the focus on stock-related news and sentiments is distinct from tools like get_weather_alerts or get_forecast. However, it doesn't fully distinguish from get_news_today, which might overlap in scope.

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 provides no guidance on when to use this tool versus alternatives. It mentions the ticker parameter but doesn't specify contexts, prerequisites, or exclusions. For example, it doesn't clarify if this is for real-time news, historical data, or how it differs from get_news_today, leaving the agent to infer usage based on the tool name alone.

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