get_news_data

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

No annotations provided. Description only states it 'get's data, lacking details on return format, pagination, rate limits, or any side effects. As a read operation, more transparency on output structure would be helpful.

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?

Single sentence is concise and front-loaded. No wasted words, though it could benefit from expansion without becoming verbose.

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 no output schema and no annotations, the description should clarify return values and behavior. It fails to do so, leaving the agent unsure what data it will get. Incomplete for practical 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?

Schema coverage is 100% with descriptions for both parameters. The description does not add meaning beyond what the schema already provides (e.g., symbol format, recent_n default). Baseline score of 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 'Get stock-related news data' clearly identifies the verb (get) and resource (news data). It distinguishes from siblings like get_financial_metrics or get_hist_data, though it could be more specific about what type of news (e.g., headlines, articles).

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 on when to use this tool versus alternatives like get_realtime_data or get_hist_data. No context about prerequisites or exclusions. Implied usage from name only.

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