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Rank rows by a numeric column

dataset_top

The highest (or lowest) rows of the Procedure Cost Checker 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

B3.1/5.0
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 the ranking direction and default (highest first), but says nothing about it being a read-only operation, the 50-row cap on results, pagination, or what is returned — all of which matter for a tool with zero annotation coverage.

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 compact sentence with no filler and the ranking concept front-loaded. It is efficient, though the quoted phrasing is slightly informal and could carry one more clause of useful detail without bloating.

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?

No output schema, no annotations, three parameters with only one-third schema description coverage. For a ranking tool whose result shape and default limit are unclear, the description is too thin to let an agent call it confidently.

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?

With schema coverage at only 33%, the description must compensate. It adds meaning for the column parameter ('numeric column') and for the ascending direction ('highest or lowest'), but the limit parameter — including its 1–50 range and default — is left entirely undocumented in both schema and description.

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?

The description states a specific operation — returning the highest (or lowest) rows of the Procedure Cost Checker dataset ranked by a numeric column — which is a clear verb+resource pairing. It implicitly distinguishes itself from siblings like dataset_stats or dataset_search by being a ranking/top-N retrieval, though it never names an alternative.

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 parenthetical 'which is the most/least X' hints at the intent that should trigger this tool, which is useful implied guidance. However, there is no explicit when-to-use vs. when-not, and no sibling (dataset_stats, dataset_search, dataset_compare) is named as the alternative for a similar need.

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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