欧洲前10联赛场均进球：荷甲3.36球第1，意甲2.22球垫底（欧洲十大联赛场均进球榜：荷甲3.36球居首，意甲2.22球垫底）

Evaluating request parameters

The developer message suggests assuming workspace-write and network-enabled options, but we shouldn't fetch data unless necessary. This isn't a straightforward request; it’s a statement. I could clarify if a chart is needed or if there's a specific timeframe or source in mind.

I could include explainers about why Eredivisie tends to score higher — focusing on open play and youth — and note that Serie A has historically been lower-scoring. However, recent seasons have seen an increase, like Serie A's average of 2.57 in 2022-23.Requesting clarification and options

I should start by asking a short clarifying question with options for how the user wants to proceed. I could provide league rankings and some reasons or offer to compute scoring factors like penalty rates and xG metrics, but I'm lacking data right now.

I’ll ask whether they want a fact-check, more sources, a wider table, a visualization, or an analysis of causes. It’s important to mention that 2.22 for Serie A is unusually low for a full season, so I’ll see if they can clarify the season and source. I can also offer to produce a table of the top 10 leagues' averages from the last five seasons, if they allow data access.Producing concise guidelines

I don’t need to run shell commands; I should stick to final answer guidelines with concise bullets.

I'll start by asking which season and cutoff date the user has in mind. I can offer to verify data with sources like Opta, FBref, or Transfermarkt, and propose compiling a table or visualizing the information. It’s good to mention that early-season spikes can inflate Eredivisie numbers; sample sizes matter. I’ll avoid giving specific numbers and instead provide general ranges, plus I should confirm if they want me to pull current season data.