get_ai_news

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

No annotations are provided, so the description carries the full burden. It discloses that all sources are fetched in parallel and that it returns structured data. It also mentions the max items per source limit. It does not mention potential rate limits or partial failures, but for a read-only fetch tool this is acceptable.

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 concise and well-structured: a one-sentence purpose, a sentence on output, a clear usage guidance sentence, and a bulleted Args section. No fluff or redundancy.

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 aggregating multiple sources and the existence of an output schema, the description covers the key aspects: what it returns, how to control sources and limits, and when to use it. It does not mention error handling or authentication, but these are not essential for this type of tool.

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 schema has no descriptions (0% coverage), so the description fully compensates. It explains 'sources' as a comma-separated list with allowed values and 'max_items_per_source' with default and max. This adds all needed semantics beyond the schema.

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 fetches the latest AI news from multiple named sources (Hacker News, Reddit, GitHub, arXiv, RSS). This distinguishes it from siblings like search_ai_news (search vs fetch) and other news tools for specific regions.

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 explicitly says 'Use this when the user asks about AI news, what's new in AI, latest developments, trending topics, new models, new tools, etc.' This provides clear trigger conditions. However, it does not mention alternative tools like search_ai_news for when a user wants to search specific terms, so it lacks explicit exclusions.

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