arena_odds
Live odds, hot picks, schedule and house stats for the arena betting book.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Live odds, hot picks, schedule and house stats for the arena betting book.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. 'Live odds' implies a near-real-time read and there are no mutating verbs, so the read-only nature is inferable, but the description does not explicitly confirm read-only behavior, caching, rate limits, or any other operational traits. This is adequate but leaves some transparency to implication.
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?
One short sentence packs the key data categories without filler. The most important term 'live odds' is front-loaded, and every word contributes to identifying the tool's scope.
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 zero-parameter information tool, the description is nearly sufficient: it names the output categories and the specific betting book. However, it omits any return shape or usage conditions and does not differentiate this tool from the many betting/odds siblings, leaving an agent to infer when 'arena' applies.
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 input schema is empty, so there are no parameter semantics for the description to add; the baseline of 4 applies. The listed output categories indirectly frame what callers should expect, and no further parameter documentation is needed.
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 that the tool exposes live odds, hot picks, schedule, and house stats for the arena betting book, which makes its purpose reasonably clear. It lacks an explicit verb like 'retrieve' or 'list', but the noun phrase is specific enough to identify the resource and distinguish it from odds-like siblings at a glance.
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?
There is no guidance on when to use this tool versus alternatives such as graviton_state, prophet_markets, or casino_state. The description gives context about the arena betting book but never states an exclusion or a condition that should route an agent here.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.