Get daily digest

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

With no annotations, the description carries the transparency burden. It discloses the output structure and the date-dependent behavior, and 'fetches' implies a read-only operation. It does not cover auth, errors, or rate limits, but for a simple public digest 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?

Two sentences, front-loaded with the primary action and output contents, followed by concise date instructions. No redundant wording.

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 tool with a single optional parameter and no output schema, the description sufficiently explains the return payload and how to target a specific digest. Missing edge cases are not critical for this simple 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?

Schema description coverage is 100%; the date parameter's format and optional behavior are already fully documented in the schema. The description repeats this same information without adding new meaning.

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 identifies a specific verb ('Fetches') and resource ('daily AI news digest'), and enumerates the story fields (headline, summary, why-it-matters, sources), clearly differentiating it from sibling tools that cover trends or pipeline stats.

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?

Provides clear context on date usage (omit for latest, pass YYYY-MM-DD for a specific day), but does not explicitly mention alternatives or when not to use this tool relative to siblings such as get_trending_topics.

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