get_trending_context

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

No annotations, so the description carries full burden. It discloses the mechanism (web search + player data), the output shape (2-3 sentence explanations), and categories of reasons (injuries, depth chart, trades). It doesn't mention rate limits, latency, or auth needs, which would be useful for a web-search-backed tool.

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?

Well front-loaded with a one-line summary, then details in Args/Returns/Example sections. Some redundancy between the summary and args section, but overall efficient for the information conveyed.

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?

Despite no annotations and a bare schema, the description fills all gaps: it explains inputs (with constraints), outputs (format and content categories), mechanism, and provides an example. An output schema exists, but the description still supplies useful return-value context. Complete for correct invocation.

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%, so the description does the work: it specifies player_ids must be a list (not string) and cannot be empty, and that max_players defaults to 5 with a max of 10, and can be int or string. This compensates well for the undocumented 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?

States a specific verb (get), resource (context explaining why players are trending), and mechanism (web search + player data). Clearly distinguishes from sibling get_trending_players, which returns raw trending lists rather than explanations.

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 purpose implies usage but no explicit when-to-use or when-not-to-use guidance is given. It doesn't mention alternatives like get_trending_players or explain whether this should follow that tool. Usage is inferable but not stated.

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