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ferasbbm

Sportmonks MCP Server

by ferasbbm

get_live_probabilities

Retrieve live outcome probabilities for all active football fixtures to inform predictions and analysis.

Instructions

Get live in-match probabilities for all active fixtures.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeNoSemicolon-separated includes. e.g. fixture;type
selectNoComma-separated fields to return.
filtersNoFilters to apply.
localeNoLanguage for name fields.
pageNoPage number.
per_pageNoResults per page.
Behavior2/5

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

With no annotations, the description carries full burden. It mentions 'live in-match' but does not disclose rate limits, data freshness, pagination behavior, or any other behavioral traits beyond the basic purpose.

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?

Single sentence, front-loaded, no wasted words. However, under-specification could be mistaken for conciseness; still efficient.

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

Completeness2/5

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

Despite simple purpose, the tool has 6 parameters and no output schema. The description fails to explain what probabilities are returned, how filters work, or any usage context, leaving significant gaps.

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 all parameters. The description adds no extra meaning beyond what is in the schema, so baseline score of 3 is 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?

The description clearly states the verb 'Get' and the resource 'live in-match probabilities for all active fixtures', distinguishing it from siblings like get_probabilities (likely pre-match) and get_live_probabilities_by_fixture_id (filtered).

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 guidance on when to use this tool versus alternatives such as get_live_probabilities_by_fixture_id or get_probabilities. No exclusions or context provided.

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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