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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds genuinely useful behavioral context beyond that: odds come from a single source book, and the tool returns null when no odds exist, which an agent must handle rather than assume a populated result.

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?

Two short sentences, zero filler, with the content of the response front-loaded ahead of the edge-case null note. Nothing could be cut without losing information.

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?

With no output schema, the description carries the burden of describing the return shape and does so in outline (spread, moneyline, total, null case). It does not explain the structure or units of those fields or whether multiple books are aggregated, so it is solid but not fully complete.

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%: sport's enum, league's slug list and event_id's provenance are all documented in the schema. The description adds no parameter-level detail beyond what the schema provides, so the baseline 3 applies.

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 (get current odds) and enumerates exactly what is returned: spread, moneyline and total for a game. The 'single source book' scoping and the null-return note make it unambiguous against siblings like get_event or get_box_score, which return different data for the same game.

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?

Usage is implied by the phrasing 'for a game' and the schema's note that event_id comes from get_live_events, get_events or get_schedule, but the description itself gives no explicit when-to-use or when-not-to-use guidance. No exclusions or prerequisites are stated in the text.

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