Skip to main content
Glama

flashscore_scores

Read-only

Fetch Flashscore score and fixture data for one sport and date-picker day_offset; the source's field-delimited text is preserved because field meanings vary by sport. Use flashscore_calendar to discover dates or livescore_scores for the live-score feed.

Input Schema

NameRequiredDescriptionDefault
sportYesRequired. Sport key from flashscore-sports. Supported keys: football, tennis, basketball, hockey, american-football, baseball, handball, rugby-union, floorball, bandy, futsal, volleyball, cricket, darts, snooker, boxing, beach-volleyball, aussie-rules, rugby-league, badminton, water-polo, golf, field-hockey, table-tennis, beach-soccer, mma, netball, pesapallo, motorsport, formula-1, cycling, horse-racing, esports, winter-sports, kabaddi, moto-racing, ski-jumping, alpine-skiing, cross-country-skiing, biathlon.
day_offsetNoOptional day offset from today as shown by Flashscore's date picker. Range: -7 to 7. 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. Changed1 schema field changed
    • changedInput schema / properties / sport / description
      Previous value: -"Required. Sport key from flashscore-sports. Supported keys: football, tennis, basketball, hockey, american-football, baseball, handball, rugby-union, floorball, bandy, futsal, volleyball, cricket, darts, snooker, boxing, beach-volleyball, aussie-rules, rugby-league, badminton, water-polo, golf, field-hockey, table-tennis, beach-soccer, mma, netball, pesapallo, motorsport, formula-1, cycling, horse-racing, esports, winter-sports, kabaddi."New value: +"Required. Sport key from flashscore-sports. Supported keys: football, tennis, basketball, hockey, american-football, baseball, handball, rugby-union, floorball, bandy, futsal, volleyball, cricket, darts, snooker, boxing, beach-volleyball, aussie-rules, rugby-league, badminton, water-polo, golf, field-hockey, table-tennis, beach-soccer, mma, netball, pesapallo, motorsport, formula-1, cycling, horse-racing, esports, winter-sports, kabaddi, moto-racing, ski-jumping, alpine-skiing, cross-country-skiing, biathlon."
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, openWorldHint), and an output schema documents the return shape. The description still adds genuine context: the source's field-delimited text is preserved because field meanings vary by sport, which warns the agent about parsing. It doesn't discuss rate limits or ordering, so not a 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 tight sentences with the core fetch behavior front-loaded and alternatives trailing. No filler; every clause carries information.

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?

For a two-parameter read tool with annotations and an output schema, the description covers purpose, sibling routing, and the raw-text output quirk. Nothing needed to invoke it 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 both sport and day_offset are fully documented in the schema (including the -7..7 range and default). The description references the parameters by name but adds no syntax or semantic detail beyond what the schema already provides, making the baseline 3 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?

States a specific verb (Fetch) and resource (Flashscore score and fixture data) scoped to one sport and a day offset. It also differentiates from siblings by naming flashscore_calendar and livescore_scores, so an agent can tell it apart without opening other schemas.

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 routes the agent: 'Use flashscore_calendar to discover dates or livescore_scores for the live-score feed.' The condition that selects each alternative is stated, leaving nothing to inference.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.