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AI Ball — AI football match analysis

Get the context behind a match

get_match_context
Read-onlyIdempotent

Head-to-head summary, recent form, injuries and suspensions, and schedule density, limited to what is shown publicly on the site.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoLanguage of team and league names.en
match_idYesMatch id from list_matches.

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, destructiveHint=false and openWorldHint=false, so safety and idempotency are covered structurally. The description adds one genuinely useful behavioral fact not in the annotations: results are 'limited to what is shown publicly on the site,' which tells the agent the payload may be partial or restricted. It says nothing about auth, rate limits, or failure modes.

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?

One compact sentence that front-loads the content list and ends with the scope caveat. Nothing is wasted, though the sentence is a bare noun phrase rather than a directive, which slightly weakens its framing.

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?

With no output schema, the description must carry the return-value burden, and it does by enumerating the four content areas the caller receives. Annotations cover the safety profile and the schema covers both parameters, so the only residual gap is how this differs from get_match_analysis.

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%: match_id is documented as coming from list_matches and lang is an enum with a default. The description adds no parameter-level meaning beyond the schema, so the 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?

The description names the resource (match context) and enumerates what it contains: head-to-head, recent form, injuries/suspensions, schedule density. That is a concrete, non-tautological statement of purpose. It stops short of distinguishing itself from the sibling get_match_analysis, which sounds like it covers overlapping ground, so it misses the top band.

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 statement of when to call this tool, what prerequisites exist, or which sibling to choose instead. With get_match_analysis and list_matches present, the agent is left to infer the boundary entirely on its own.

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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