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Rank rows by a numeric column

dataset_top

The highest (or lowest) rows of the Rotazo dataset by a numeric column — "which is the most/least X".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
columnYes
ascendingNotrue for the lowest first; default highest first

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states the basic operation but does not explain limit defaults, sort direction behavior, how ties are handled, whether only a subset of rows is returned, or what the output looks like. This leaves important behavioral details unspecified.

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, front-loaded sentence with no filler. It immediately communicates the core behavior and includes a concrete example ('which is the most/least X') without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of annotations and output schema, the description is too thin. It does not clarify the default limit, how ascending interacts with the ranking, or what the returned rows/fields include. These details are necessary for an agent to invoke the tool correctly without additional inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33%, so the description must compensate. It does add useful meaning by specifying that the column must be numeric and that 'top' means highest or lowest values, but it does not explain the limit parameter's role or its default behavior. The coverage gap is only partially filled.

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 title and description clearly state a specific action ('rank rows') and the resource (a numeric column in the Rotazo dataset). The 'highest (or lowest)' and 'most/least X' phrasing makes the tool's purpose unmistakable and distinguishes it from sibling tools like dataset_row or dataset_stats.

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

Usage Guidelines4/5

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

The description gives clear context for when to use this tool: to find the most or least extreme rows by a numeric column. However, it does not explicitly name sibling alternatives or state when not to use this tool, so it stops short of full routing guidance.

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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TDQS

A3.7/5.0
Disambiguation4/5

Each tool targets a distinct query mode: schema, provenance, exact lookup, substring search, multi-value comparison, numeric stats, and top/bottom ranking. dataset_row and dataset_compare overlap slightly for single-value exact matches, but the descriptions clearly orient one to single lookups and the other to X-vs-Y comparisons.

Naming Consistency4/5

All tools share the consistent dataset_ prefix and snake_case style, which makes the family obvious. However, the suffix mixes nouns like columns, provenance, row, stats, and top with verbs like compare and search, so it is not a strict verb_noun pattern.

Tool Count5/5

Seven tools is well-scoped for a dataset-querying server: enough to cover schema, provenance, lookup, search, comparison, statistics, and ranking without feeling redundant. Each tool earns its place.

Completeness5/5

The tool surface covers the full range of likely questions about the Rotazo dataset, including schema discovery, provenance attribution, exact lookup, substring search, value comparison, numeric summaries, and top/bottom ranking. There are no obvious dead ends for typical exploration or analysis.

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