get_top_news

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

With no annotations, the description must carry behavioral disclosure, but it only restates the operation. It does not mention sorting, date-window behavior, result limits, or the interaction between full_data and summarize.

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 one-sentence description is short, but it is under-specified to the point of being near-tautological. It is compact, yet the lack of behavioral details makes it less useful than a slightly longer definition focused on key guidance.

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?

Even though an output schema exists, the description fails to explain the distinction from the many sibling news/trend tools. An agent selecting among get_top_news, get_news_by_topic, and get_top_trends would need more context about result shapes and filtering options.

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 the schema already documents all four parameters. The description does not add meaning beyond the parameter names and defaults.

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?

States the verb 'Get' and the resource 'top news stories from Google News,' so an agent can infer it returns a ranked list of news. It does not explicitly differentiate from siblings like get_news_by_topic or get_top_trends, leaving some ambiguity about what counts as 'top'.

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 gives no indication of when to choose this tool over siblings such as get_news_by_keyword or get_news_by_location. No prerequisites, exclusions, or example scenarios are provided.

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