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

Annotations already cover read-only and open-world behavior, so the bar is lower, but the description still adds real context: the result set is small (~ten items) and the tool returns an empty list rather than erroring when nothing is featured. It also enumerates returned fields, which is somewhat redundant with the output schema, keeping it from a 5.

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 what is returned, followed by the disambiguation and prerequisite. Every clause carries a distinct piece of information — scope, size, fields, alternative, slug source, empty-result behavior — with no filler.

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 single-parameter read tool with an output schema and annotations, the description covers everything the agent needs: how to obtain the slug, what comes back, how it differs from the sibling, and the empty-result edge case. Nothing material is left to inference.

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% and the single 'sport' parameter is already documented in the schema with the same slug-source guidance and examples (nfl, nba, golf, horse-racing). The description restates rather than extends that information, so baseline 3 applies.

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 a specific verb ('Get') and a precisely scoped resource: editor-featured articles on a sport's page, roughly ten, with concrete examples of the kind of content ('this week's best bets'). It explicitly names the contrasting sibling (fanduel_research_articles listing newest-first), so an agent can distinguish the two without opening either schema.

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?

Gives a clear use case ('see what the site is promoting for a sport') and an explicit exclusion routed to an alternative ('unlike fanduel_research_articles which lists the newest first'). It also names the prerequisite source for the slug (fanduel_research_sports), so the agent knows the upstream call.

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