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PinnWire — Pinnacle Odds, Price Drops & No-Vig Fair Prices

get_prematch_lines

Read-only

Compact current full-game lines for one prematch event (no period structure). Optional market_type filter: money_line | spreads | totals | team_total.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_idYesEvent id from another odds tool
market_typeNoLimit the response to one market type

TDQS

A3.7/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes that this is a safe read operation. The description adds useful behavioral context—'current', 'compact', 'no period structure', and the optional market_type filter—but it does not disclose response format, default behavior when no filter is supplied, or pagination limits. This is acceptable but not deeply transparent.

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 a single compact sentence that front-loads the core purpose and ends with the optional parameter, which mirrors how an agent would read it top-down. No filler or redundant explanation.

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

Completeness3/5

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

The tool is simple and the description covers the core use case, but with no output schema the description should ideally say more about the shape of the returned lines—e.g., whether both sides are included, what fields appear, or how 'compact' affects the structure. Without that, an agent can select the tool confidently but may be uncertain about parsing the result.

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 event_id and market_type are already well documented. The description repeats the enum values and calls market_type a 'filter', which aligns with the schema's 'Limit the response to one market type' but adds no new semantic detail. A baseline score of 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 states a specific resource ('one prematch event'), a concrete data type ('current full-game lines'), and a defining characteristic ('no period structure'), making it clear what the tool returns. It also names the optional market types, further specifying scope. This distinguishes it from live-odds or period-based sibling tools even without naming them explicitly.

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

Usage Guidelines3/5

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

The description implies usage for a single prematch event with compact full-game lines, and the 'no period structure' note hints at when not to use it. However, it does not explicitly mention alternative sibling tools or state when to prefer get_prematch_odds or get_live_odds, leaving the routing decision mostly to inference.

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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TDQS

A3.9/5.0
Disambiguation3/5

get_live_odds and get_prematch_odds are clearly separated by live vs prematch, but get_prematch_lines, get_prematch_odds, and get_event all deal with prematch/event odds and could be confused. The descriptions clarify one-sport vs one-event vs full-detail scopes, but the boundaries require careful reading.

Naming Consistency4/5

Most tools follow a clean get_<object> pattern (get_live_odds, get_prematch_odds, get_drops, get_event, get_health), and casing is consistent. list_sports breaks the pattern by using a different verb, and get_event/get_drops are slightly more generic than their odds-specific siblings, but overall the naming is predictable.

Tool Count5/5

Seven tools is well-scoped for a focused odds-and-drops API. Each tool maps to a distinct need: sport mapping, live odds, prematch odds, event detail, price drops, and health/status, with no obvious fat to trim.

Completeness4/5

The core read-only odds surface is well covered: sports discovery, live and prematch odds, per-event detail, drops, and feed health. The main gap is that no-vig fair prices are only exposed through the drops tool rather than being available as a consistent property across all odds endpoints.

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