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Sportmonks Fixture

sportmonks_fixture
Read-onlyIdempotent

Match details + stats for a soccer fixture: score, participants (teams), statistics, and events. Example: sportmonks_fixture({ id: 19146701, _apiKey: "your-token" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesSportmonks fixture (match) ID, e.g. 19146701
_apiKeyYesSportmonks API token (get one at my.sportmonks.com; free plan = Danish/Scottish leagues)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and non-destructive behavior, so the safety profile is covered. The description adds useful return-content context by listing score, participants, statistics, and events, though it does not mention rate limits, pagination, or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence followed by a concise example. The example slightly duplicates the schema's own example, but the structure remains efficient and easy to scan.

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

Completeness4/5

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

For a simple two-parameter read tool with full schema coverage and annotations covering safety, the description is largely complete. Since there is no output schema, enumerating the returned fields adds meaningful value, though more detail on response shape or limits could improve it further.

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 both id and _apiKey in detail. The description adds an example invocation but does not provide meaning beyond what the schema already supplies, making the baseline of 3 appropriate.

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?

The description clearly states the resource and returned contents: match details and stats for a soccer fixture, including score, teams, statistics, and events. It does not explicitly differentiate itself from sibling tools like sportmonks_fixtures_by_date or sportmonks_livescores, but the singular fixture framing is clear.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to use this tool versus alternatives such as sportmonks_fixtures_by_date or sportmonks_livescores. The example demonstrates call syntax only and does not explain usage conditions or exclusions.

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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