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ddevetak

footballcharts-mcp

by ddevetak

Goal timing heat map

get_goal_timing

Retrieve goal timing data for any football league, showing goals per 15-minute interval for each team along with league-level stats like most active period and share of late goals.

Instructions

When each team in a league scores: goals per 15-minute bin per team, plus league-level stats (most active period, late-goal share).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leagueYesLeague key, e.g. 'premier', 'spain1', 'brazil1', 'wgermany1'. Use list_leagues to discover keys.
seasonNoSeason string exactly as returned by list_leagues (summer leagues '2026', winter '2026-2027'). Omit for the latest.
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavior. It reveals output content (goals per 15-minute bin, late-goal share) but does not clarify details such as how 'late' is defined, whether all seasons are aggregated, or if the data is read-only. It is adequate but leaves some behavioral unknowns.

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?

The description is a single, information-dense sentence that front-loads the core concept. It avoids redundancy and every clause adds value, making it highly concise and well-structured.

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 tool with two parameters, no output schema, and no annotations, the description gives a solid overview of the return value. It mentions both per-team and league-level outputs, but could be more explicit about the exact time bins and the definition of 'late' to be fully complete. Still, it covers the essential context.

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 parameters (league, season) are well documented in the schema. The description adds context about the output (per team, league-level) but does not introduce additional parameter meaning beyond what the schema already provides, so baseline 3 applies.

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 identifies the tool's function: it returns goals per 15-minute bin per team for a league, plus league-level stats. This is a specific verb+resource combination that distinguishes it from sibling tools like get_league_table or get_rankings.

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

Usage Guidelines3/5

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

The description explains what the tool does but does not explicitly state when to use it over alternatives or exclude cases. The user must infer from the unique output that this is for goal timing analysis, but no direct guidance or alternative naming is 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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