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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so safety and mutability are covered. The only behavioral fact added is that results come from a distinct dataset not mixed with sportsbook or Pick6 data. Nothing is said about pagination behavior, ordering, or how empty results behave, despite limit/offset parameters being present.

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 two sentences are front-loaded and contain no filler, which is good structure. But the first sentence merely restates the tool name and title, so the text is under-specified rather than genuinely concise.

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?

Four undocumented parameters, no output schema, and no enum constraints mean the description would need to carry substantial explanatory weight. Instead it provides only a dataset-origin note, leaving an agent unable to predict filters or result shape with confidence.

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% for four parameters, so the description carries the full burden of explaining limit, offset, sport, and slate_id. It mentions none of them, adding no meaning beyond the bare JSON types, defaults, and patterns. An agent can guess that limit/offset paginate, but the relationship between sport and slate_id is left entirely unexplained.

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 names the resource (DFS contests) and states it is a separate dataset from sportsbook and Pick6, which does differentiate it from those siblings. However, there is no verb and no differentiation from the closely related get_dfs_slates, get_dfs_players, and get_dfs_sports tools, so an agent cannot tell which DFS endpoint returns what.

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?

Usage is only implied by the exclusion 'a separate dataset from sportsbook and Pick6', which tells the agent this is the DFS source rather than the sportsbook source. There is no guidance on when to choose this over get_dfs_slates or get_dfs_players, and no statement of prerequisites or expected result shape.

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