get_energy_news

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It only states the purpose without mentioning any limitations, return format, or side effects. For a read-only getter, this is minimal disclosure, offering no additional behavioral context beyond the name.

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 a single, concise sentence that immediately conveys the tool's purpose and key topics. It is front-loaded with the verb and resource, with zero wasted words.

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?

For a simple tool with no parameters and an existing output schema, the description sufficiently covers the main scope. It could be slightly more complete by mentioning what type of news items (e.g., headlines, summaries) are returned, but the presence of an output schema mitigates the need to explain return values.

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 tool has zero parameters, and the baseline for 0 parameters is 4. The description adds some context by listing energy sub-topics, which helps the agent understand the scope of the news returned.

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 uses an explicit verb 'Get' with a specific resource 'energy sector news' and lists sub-topics (oil, gas, renewables, policy). This clearly distinguishes it from sibling tools like get_technology_news or get_ai_news.

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 energy-related news through its speciality, but it does not explicitly state when to use this tool versus alternatives like get_news or other category-specific tools. No exclusions or explicit alternative guidance is provided.

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