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

With no annotations, the description carries the full burden. It does add real context: the return contents (top markets by volume, blended probabilities, resolution dates, slugs) and the paid access model ($0.04 via x402), which tells the agent this call has a cost. It does not state that the operation is read-only or describe pagination/refreshing behavior.

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?

Front-loaded and mostly efficient, with the scope and content stated up front and the HTTP/price/docs footer clearly separated. The first two sentences overlap heavily ('All active NBA basketball markets ... in one call' vs. 'One-call board of the most active NBA basketball prediction markets'), so there is some redundancy.

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 read-only board tool with no output schema or annotations, the description adequately covers return contents, cost, and intended use. The main gap is the undocumented limit parameter, which the agent must interpret from an undocumented schema alone.

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%, and the description never mentions the sole required parameter (limit, 1-50, default 20). 'Top markets by volume' weakly implies a bounded result set but gives no guidance on what limit controls or how to choose a value, so the description fails to compensate for the documented 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?

States a specific resource and scope: an NBA-only one-call board of the most active NBA prediction markets with blended live probabilities. The NBA qualifier distinguishes it from its sports-mlb/nfl/soccer board siblings, and the 'bulk read ... at a glance' framing distinguishes it from drill-down or calendar-style tools.

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 an implied use-case ('the bulk read for agents tracking the state of NBA basketball') and hints that per-market slugs feed a drill-down, but it never names an alternative or a when-not condition (e.g. vs. probability_calendar_sports-nba or probability_movers_sports-nba). The routing decision is left largely to inference.

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