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 the recap is AI-generated, returns a narrative, and mentions update frequency for certain categories (hourly for crypto/macro). However, it does not disclose potential rate limits, authorization needs, or what happens on invalid input.

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, front-loaded with the purpose, and uses a clear 'Args' section for parameters. Every sentence adds value, with 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 no output schema, the description covers parameters well and adds behavioral hints (update frequency). It could be improved by explicitly describing the return format (e.g., 'Returns a plain text summary') to compensate for the missing output schema.

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 description coverage is 0%, but the description compensates by explaining each parameter in detail: category as required code with examples and a pointer to get_categories, timeframe with recommended durations per category type and default value. This adds significant meaning beyond the raw 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 the verb 'Get' and resource 'AI-generated news recap/summary for a specific category.' It distinguishes itself from sibling tools like get_latest_news (individual articles) and search_news (search) by specifying it returns a concise narrative summary.

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 a general use case ('Great for getting up to speed quickly') and mentions using get_categories to see options, but does not explicitly state when to use this tool versus its siblings (e.g., when to use get_enriched_news instead). Usage guidance is implied but not explicit.

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