get_latest_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 of behavioral disclosure. It mentions the newsletter is 'curated daily', hinting at freshness and editorial selection, but lacks details on output format (e.g., structured data vs. raw text), error handling, or any rate limits. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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, well-structured sentence that efficiently conveys the tool's function and scope without redundancy. It is front-loaded with the core action ('Get the latest AI & jobs newsletter edition') and adds clarifying details ('curated daily briefing...') that earn their place by enriching understanding.

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 tool's simplicity (0 parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on output (e.g., format, structure) and behavioral context (e.g., update frequency, data source), which could help the agent use it more effectively. It meets the minimum viable threshold but has clear gaps.

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 0 parameters with 100% schema description coverage, so the schema fully documents the absence of inputs. The description adds no parameter information, which is appropriate here. A baseline of 4 is applied as it compensates adequately by not needing to explain parameters, though it doesn't enhance 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 the tool's purpose with specific verbs ('Get', 'curated') and resources ('latest AI & jobs newsletter edition', 'daily briefing on AI's impact on the workforce'). It distinguishes itself from siblings by focusing on a newsletter edition rather than blog posts, career transitions, or occupation data, making the purpose specific and differentiated.

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 retrieving a curated newsletter, but provides no explicit guidance on when to use this tool versus alternatives like 'get_blog_posts' or 'search_occupations'. There is no mention of prerequisites, frequency limitations, or contextual triggers, leaving the agent with minimal direction on optimal usage scenarios.

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