dataset_statscount, min, max, mean, median and sum of a numeric column of the ProbeLedger 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?
No annotations are present, so the description carries the burden. It discloses handling of grouping commas, currency, and non-numeric rows (excluded and counted), which is useful. However, it doesn't describe the return format, error handling, or performance characteristics.
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?
A single sentence that front-loads the statistics list and then adds handling details. No wasted words, though the sentence is slightly dense.
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?
For a simple one-parameter tool with no output schema, the description covers the core functionality and edge cases (formatting, non-numeric rows). It lacks an explicit return format but is otherwise sufficient.
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%, so the description must compensate. It implies the 'column' parameter is a numeric column name, but doesn't clarify syntax or constraints beyond that. Some value is added, but not full compensation.
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 the tool computes count, min, max, mean, median, and sum for a numeric column of the ProbeLedger dataset. This is specific and unambiguous, distinguishing it from sibling tools like dataset_row or dataset_top.
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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to prefer it over dataset_search or dataset_top, or any exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are distinct (schema, provenance, stats, top, compare), but dataset_row, dataset_search, and dataset_compare all return rows with subtly different matching semantics, which could confuse an agent. The descriptions help, but the boundaries between exact match, substring search, and ordered value comparison are not immediately obvious.
All tools share the consistent 'dataset_' prefix and use lowercase snake_case, which creates a clear family identity. However, the suffixes mix nouns (columns, row, stats, provenance) with verbs (compare, search, top), so the pattern is not perfectly uniform.
Seven tools is a well-scoped number for a single-focused dataset exploration server. Each tool addresses a distinct query need without redundancy or bloat.
The toolkit covers schema discovery, statistics, filtering, ranking, comparisons, and provenance, which covers most dataset exploration workflows. A minor gap is the lack of a way to retrieve arbitrary rows or the full dataset without a matching condition.