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FanLine Wire — Real-Time FanDuel Odds

get_prematch_fixtures

Read-only

Pre-match (pre-game) rows from the FanLine Wire tape: the upcoming markets that just ticked, with their American prices. Same shape as get_live_fixtures, with inplay false. Use it for pre-game prices, model inputs and no-vig-style work on the FanDuel card. These rows are the prematch slice of the same rolling ~20-row tape window, not the whole card — prematch_total carries the real coverage number (it counts markets, not rows), so never describe the row count as the size of the card. Only status "OPEN" is tradeable. Not a bet-placement service, not a multi-book comparison, not an opening/closing-odds archive: snapshot the responses yourself if you want line history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax rows returned. Default 20 (the whole window), max 20.
sportNoSport name as the tape spells it (FanDuel's own names): "Tennis", "American Football", "Ice Hockey". Case-insensitive substring match, so "hockey" finds "Ice Hockey". Optional — omit for every sport in the window. The full vocabulary with counts is in get_market_summary.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the `readOnlyHint` annotation, the description discloses that rows are only a rolling ~20-row slice, not the full card, that `prematch_total` counts markets not rows, that only `OPEN` status is tradeable, and that history must be snapshotted by the caller. This is substantial behavioral context that prevents realistic misuse.

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?

The description is dense but every sentence earns its place: purpose, cross-reference, use cases, windowing caveat, tradeability, and exclusions. It is front-loaded with the core definition and organized so critical limitations come before broad exclusions.

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?

With no output schema, the description compensates by pointing to `get_live_fixtures` for shape, and it covers usage, data-window limitations, status tradeability, and persistence expectations. There are no significant gaps for an agent to safely invoke this tool.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents `limit` and `sport` fully. The description reinforces the rolling-window semantics for `limit` but does not add significant meaning beyond the schema; baseline 3 is appropriate.

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 names a specific resource (pre-match rows from the FanLine Wire tape), states what they contain (upcoming markets with American prices), and distinguishes the tool from its sibling `get_live_fixtures` by explicitly noting `inplay false`. An agent can tell exactly what this tool returns and how it differs from related tools.

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?

It gives explicit intended use cases ('pre-game prices, model inputs and no-vig-style work on the FanDuel card') and clear exclusions ('not a bet-placement service, not a multi-book comparison, not an opening/closing-odds archive'). The reference to `get_live_fixtures` and `get_market_summary` also helps route the agent to 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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