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livescore_scores

Read-only

Fetch LiveScore fixtures and score records for a sport, date, and UTC timezone_offset; return the whole day or page by section using the previous page's last section ID as cursor. Use livescore_scores_toc to discover date-specific IDs or livescore_live_scores for live games.

Input Schema

NameRequiredDescriptionDefault
dateYesRequired calendar date in YYYYMMDD format.
sportYesRequired LiveScore sport token. Allowed: soccer, hockey, basketball, tennis, cricket.
cursorNoOptional section cursor copied from the previous paged response.
pagingNoOptional; return one UI-style page when true. Defaults to the full-day feed.
directionNoOptional page direction: down or up. Defaults to down in paged mode.
timezone_offsetNoOptional UTC offset in hours from -12 through 14; defaults to 0.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuine behavioral context: it returns the whole day by default or pages by section, with the cursor copied from the previous page's last section ID. It stops short of noting auth or rate-limit behavior, so it is not a full 5.

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 tightly written sentences with the core action and scope front-loaded, followed by pagination semantics and routing. No sentence is redundant.

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 an output schema present, return values need not be explained, and the description covers required params, pagination mode, and sibling routing. Nothing an agent needs to call this correctly is missing.

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 all six parameters are already documented, and the description largely restates sport/date/timezone_offset. It adds marginal value by clarifying that cursor is the previous page's last section ID, which reinforces the schema's meaning but does not extend it.

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?

States a specific verb (Fetch) and resource (LiveScore fixtures and score records) scoped by sport, date, and timezone_offset, and explicitly names the sibling tools it is not (livescore_scores_toc, livescore_live_scores). An agent can distinguish it from those alternatives without opening a schema.

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?

Routes the agent directly: use livescore_scores_toc to discover date-specific IDs and livescore_live_scores for live games, while this tool serves the day feed. The condition selecting each alternative is stated rather than inferred.

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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