dataset_statscount, min, max, mean, median and sum of a numeric column of the Sbarvo dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).
| Name | Required | Description | Default |
|---|---|---|---|
| column | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It discloses that grouping commas and currency are handled and that non-numeric rows are excluded and counted, which is useful. However, it doesn't clarify behavior for missing values, empty columns, or non-existent columns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently lists the statistics and the data-cleaning behavior. It's concise and front-loaded with the key result types.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given one parameter and no output schema, the description lists the computed statistics but doesn't specify the output structure (e.g., object keys) or error conditions. It covers the core behavior but leaves some context missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, and the description only indirectly references the column parameter as 'a numeric column'. It doesn't explicitly state that the 'column' parameter is the name of the column, nor does it specify valid values or error behavior.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states what the tool computes: count, min, max, mean, median, and sum for a numeric column of the Sbarvo dataset. It distinguishes itself from siblings like dataset_columns and dataset_search by focusing on statistics, though it doesn't explicitly name alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention when to choose dataset_stats over dataset_search or dataset_top, leaving the agent to infer the use case from context.
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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Most tools have clearly distinct purposes, but dataset_row and dataset_compare can overlap when a single value is used, since both retrieve rows by column equality. dataset_search is distinct because it searches across all cells rather than a specific column.
All tools share the consistent dataset_ prefix, but the second part mixes nouns (columns, provenance, row, stats) and verbs (compare, search, top). The pattern is still predictable and readable, so it is only a minor deviation.
Seven tools is well-scoped for querying a single dataset: schema, provenance, exact lookup, substring search, ordered comparison, statistics, and ranking each earn their place. No tool feels redundant or excessive.
The tool surface fully covers read-only exploration of the Sbarvo dataset: learning the schema, checking provenance, retrieving rows by exact match or substring, comparing values, computing statistics, and finding top/bottom rows. No obvious missing operation for the stated domain.