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

The annotations already establish a read-only, open-world operation, and the description usefully adds that the content is public and excludes picks, projections, user entries, and location data. It does not discuss authentication, rate limits, or pagination, but those gaps are minor given the annotations and output schema.

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 description is front-loaded with the core action and scope, followed by the necessary slug enumeration. The long slug list earns its place because the schema lacks enums, and the sentences contain no wasted text.

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 one-parameter read-only fetch with an output schema, the description covers the key context: accepted slug values, how to discover them, and excluded data types. Nothing essential for correct invocation is missing.

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?

Although the schema fully documents the single slug parameter, the schema itself has no enum, so the description adds substantial value by enumerating all allowed slugs. It also explicitly ties valid values back to draftkings_pick6_rules, improving correct invocation.

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 uses a specific verb and resource: fetching public scoring and rule sections for one Pick6 sport/format slug. It clearly differentiates the tool from draftkings_pick6_rules by assigning discovery of slugs to that sibling, and it states what the tool does not return.

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?

It gives a clear workflow: use one supported slug and discover allowed slugs with draftkings_pick6_rules, with the full list provided. However, it does not explicitly say when to use this versus other rules/scoring siblings such as draftkings_dfs_rules_and_scoring.

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