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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered without the description. The description adds no behavioral context of its own – no mention of pagination defaults, what a slate record contains, or how results are ordered – so it contributes essentially nothing beyond the structured annotations.

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 short sentences with no filler, and the dataset distinction is front-loaded after the resource name. The brevity is not a virtue here, though: the text is under-specified rather than efficiently complete, leaving no room for the operational details an agent needs.

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 four undocumented parameters, no output schema, and no explanation of what a DFS slate is or how it relates to contests and players, the definition is far too thin. The only useful content is the dataset boundary against sportsbook and Pick6, which does not cover what an agent must know to call this correctly.

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% across four parameters (limit, offset, sport, slate_id), and the description says nothing about any of them. An agent gets no explanation of the slate_id format, whether sport is a name or key, or how limit/offset pagination behaves, so the description fails entirely to compensate for the coverage gap.

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 slates) and states it belongs to a separate dataset from sportsbook and Pick6, which helps distinguish it from sibling data sources. However, it never supplies a verb or explains what the tool actually does with slates (list them, filter them, return contests within them), so the purpose is only implied by the name and title.

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 only guidance is the implicit signal that this is the DFS dataset as opposed to sportsbook or Pick6. There is no statement of when to call this tool versus get_dfs_sports, get_dfs_contests, or get_dfs_players, and no prerequisites or exclusions are given.

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