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lumifyai

Lumify Sports Intelligence

get_event

Read-onlyIdempotent

Retrieve any sports event details, participants, and venue. Optionally inline current odds or bet intelligence for deeper analysis.

Instructions

Get a single event with participants and venue. Optionally inline current odds and/or bet intelligence (+1 credit each, only charged when that data is actually available). Raises a not-found error if event_id doesn't exist. Use list_events / query_events to discover ids first, or batch_get_events to fetch several ids in one call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_idYesEvent id, from list_events, query_events, or search results.
bookmakerNoBookmaker for inlined odds; defaults to pinnacle, 'all' for every book.
include_oddsNoInline current odds (+1 credit when odds are available).
include_intelligenceNoInline bet intelligence (+1 credit when available).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
nameNo
sportNo
venueNo
leagueNo
statusNo
starts_atNo
updated_atNo
participantsNo
Behavior4/5

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

Annotations declare readOnlyHint, openWorldHint, idempotentHint. The description adds that it raises a not-found error for missing event_id and explains credit costs for optional inlining, providing useful behavioral context beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise: two sentences that cover purpose, error handling, alternatives, and parameter nuances without wasted words. Information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity and the presence of an output schema, the description fully covers purpose, usage, error conditions, param details, and cost implications. Nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value by specifying event_id source, bookmaker defaults, and credit implications for include_odds and include_intelligence, going beyond schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Get a single event with participants and venue' and distinguishes from siblings by mentioning list_events/query_events for discovering IDs and batch_get_events for multiple IDs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says to use list_events/query_events to discover IDs and batch_get_events for multiple IDs, providing clear guidance on when to use this tool versus alternatives.

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

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