get_league_traded_picks

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

No annotations are provided, so the description must carry behavioral context. It discloses that only future traded picks are returned and lists the included fields, which is helpful, but it does not mention authentication requirements, read-only nature (beyond the 'Get' verb), or any rate limits. This is adequate but not rich.

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 and well-structured with a bullet list of returned fields. It is slightly redundant in ending with 'Returns: List of traded draft pick dictionaries' after already describing the return values, but the redundancy is minor and the overall length is appropriate.

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?

Given the simple, parameterless nature of the tool and the presence of an output schema, the description covers purpose, use case, and return content sufficiently. It does not explicitly compare to similar sibling tools, but for this unique resource that is a minor gap.

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?

The tool takes zero parameters, so the baseline of 4 applies. The description correctly does not discuss parameters, and the empty schema is fully clear.

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 states a specific verb ('Get') and resource ('all future draft picks that have been traded') scoped to the Token Bowl league. It clearly distinguishes itself from siblings like get_league_drafts and get_league_transactions by focusing on traded picks as a distinct dataset.

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 description provides clear context for when to use the tool: 'Useful for tracking draft capital and evaluating keeper/dynasty trades.' It does not name explicit alternatives or exclusions, but the use case is well-defined and sufficient to guide an agent.

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