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

The annotations already mark this as read-only, and the description aligns by presenting it as a ranked board rather than a mutating operation. It adds useful behavioral context beyond annotations by stating the full board is free, requires no key/email/signup, includes all ~330 players, and showing which output fields are returned. This goes beyond the minimal safety signal provided by the 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?

The description front-loads the main purpose well, but it also includes promotional phrasing like 'THE COMPLETE BOARD IS FREE' and a bullet-like list of example queries that add some guidance but also length. It is reasonably sized but not every sentence earns its place; the 'Pro adds' content is not needed for invoking the tool.

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 there is no output schema, the description does a good job of explaining what the response contains: projected points, ADP, draft round, and sleeper/bust flags. It also clarifies filtering and the full free board. It is complete enough for an agent to know what to expect, though sibling differentiation and response shape could be spelled out further.

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 100%, so the input schema already fully documents limit, teams, scoring, platform, and position. The description adds little parameter-level meaning beyond restating that the board can be filtered by position and that scoring formats exist; this meets the baseline for a fully documented schema but does not raise it.

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 clearly identifies the tool as a fantasy football draft board with every player ranked, blending projections with ADP and showing projected points, ADP, draft round, and value flags. It is more specific than a mere name restatement and gives the resource and its purpose, though it does not explicitly distinguish itself from sibling tools such as best_available or sleepers_and_busts.

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 concrete use cases, including 'fantasy football rankings 2026', 'who are the top RBs', and 'best available by position', and notes position filtering. It gives clear context for when to use the tool, but it does not explicitly state when not to use it or name alternative sibling tools.

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