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HoopsAPI basketball odds

get_game_history

Every price change for a game, newest first (Data plan). Use it for line movement and closing odds.

Input Schema

NameRequiredDescriptionDefault
limitNo
marketNo
periodNo
game_idYes
providerNoOnly this bookmaker, e.g. pinnacle (see list_providers)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden and does add two useful facts: results are ordered newest-first and the endpoint requires a 'Data plan' entitlement. But it says nothing about default window size, whether an unfiltered call returns all five markets across all periods, or how large history sets behave relative to the limit cap of 5000.

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?

Two short, front-loaded sentences with zero filler; the resource and ordering come first, the use case second. Nothing is repeated from the schema.

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?

For a five-parameter read tool with no output schema and no annotations, the description leaves meaningful gaps: what a history record contains, whether the plan requirement means failures for non-entitled callers, and how to page through results via limit. It is workable but not sufficient on its own.

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

Parameters2/5

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

Schema coverage is only 20% — only 'provider' carries its own description. The description does not explain game_id, the 1–5000 limit with its default of 100, or what selecting a market/period does to the returned series. Enum values for market and period are self-explanatory, but the intent behind filtering by period (e.g. to isolate halves for line-movement analysis) is left to inference.

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

Purpose4/5

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

States a specific resource ('every price change for a game') with an ordering guarantee ('newest first'), which clearly separates it from get_game (current snapshot) and list_games. It doesn't explicitly name a sibling, but the verb+resource is concrete enough that an agent won't confuse it with the listing tools.

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?

'Use it for line movement and closing odds' gives a positive use case, which is more than nothing. However there are no exclusions and no routing to alternatives — e.g. it never says to use get_game when only the current price is needed, or that a market/period filter should be passed to narrow results.

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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