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

With no annotations, the description carries the behavioral burden and does well: it discloses the tool is FREE, that off-season leagues self-report as dormant rather than serving stale numbers, and that every response includes an out-of-sample calibration verdict validated against a 90% target. It omits return format/pagination specifics, but the operational traits it does disclose are substantive.

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?

Purpose is front-loaded, which is good, but the prose is padded with marketing ('provable, not vibes', 'not vibes', the on-chain merkle pitch) that does not help an agent invoke the tool. Pricing and calibration details earn their place; the rhetorical flourishes do not.

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 2-param, no-annotation, no-output-schema tool, the description covers what is returned (grades, headshots, calibration verdict) reasonably well, reducing the output-schema gap. However, it leaves both input parameters undefined, which is the main completeness hole.

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 coverage is 0% — neither parameter is documented — so the description must compensate. It hints at 'per live league' (mapping loosely to `league`) but never explains the format, valid values, or defaults, and says nothing at all about what `limit` controls. The gap is largely unfilled.

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?

States a specific verb and resource — a daily sports 'movers board' of hot, high-volume players per live league — plus the payload contents (forecast context, Heat/Form grades, headshots). An agent can tell this apart from sports_players or trending_cards without opening a schema.

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 'Use this when' clause gives three concrete triggers: 'who's hot in MLB', sourcing player ids for the paid /api/v1/sports/forecast endpoint, and fantasy-adjacent market context. It does not name sibling tools to prefer instead, so it stops short of full routing guidance.

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