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Sportmonks Fixtures By Date

sportmonks_fixtures_by_date
Read-onlyIdempotent

Soccer fixtures on a date — every match scheduled/played on a given day with teams and scores. Example: sportmonks_fixtures_by_date({ date: "2026-05-24", _apiKey: "your-token" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesDate in YYYY-MM-DD format, e.g. "2026-05-24"
_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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds that results include teams and scores, giving modest context about payload content, but says nothing about the free-plan scope limits or pagination beyond what the API-key param description already notes.

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?

Two compact sentences, purpose front-loaded before the example. The example is somewhat redundant with the schema's `examples` array, costing it the top score, but there is no filler.

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 2-param, annotated read tool with no output schema, the definition covers what is returned at a high level (teams and scores). The only real gap is the lack of sibling routing guidance, which is not strictly required for calling the tool correctly.

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% — both `date` (YYYY-MM-DD) and `_apiKey` (token source, free-plan limitation) are fully documented in the schema. The description's inline example repeats the schema's own example field and adds no semantics beyond it, so baseline 3 applies.

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 verb+resource: 'Soccer fixtures on a date — every match scheduled/played on a given day with teams and scores.' This is clear and distinct from sibling sportmonks_fixture, though the singular/plural sibling distinction is left implicit rather than called out.

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?

No when-to-use guidance, no exclusions, and no mention of alternatives such as sportmonks_livescores or sportmonks_fixture. The example invocation shows how to call it, not when to prefer it.

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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