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Rank rows by a numeric column

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The highest (or lowest) rows of the Wärmepumpe Kosten Europa 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.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It conveys that ranking is by a numeric column and the highest/lowest can be chosen, but says nothing about read-only semantics, tie handling, whether the limit silently caps results, default sort order, or what the returned rows contain.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the ranking action stated first and the use-case gloss appended. It is tight and wastes no words, though the em-dash gloss is slightly informal rather than adding operational detail.

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

Completeness3/5

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

For a read-only ranking tool with no output schema, no annotations, and low schema coverage, the description is only partly sufficient. It never says what a 'row' return looks like, what happens when fewer rows exist than the limit, or that limit defaults/exists at all.

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 only 33%, so the description must compensate. It usefully constrains 'column' to a numeric column — a restriction the schema does not encode — and its 'highest (or lowest)' phrasing maps to the ascending flag. It supplies nothing about the 'limit' parameter, including the 1–50 range, leaving one of three parameters unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific operation (return the highest/lowest rows) on a named resource (the Wärmepumpe Kosten Europa dataset) ranked by a numeric column. An agent can distinguish it from dataset_row/dataset_stats/dataset_search by the ranking behavior. It does not explicitly name a sibling it is not, so it falls short of 5.

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 quoted 'which is the most/least X' framing gives an implied use case for selecting this tool over a plain row lookup. However, there is no explicit when-to-use/when-not guidance and no alternative sibling named, leaving the agent to infer when top-ranking beats stats or search.

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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