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Rank rows by a numeric column

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The highest (or lowest) rows of the PropFirmPicker 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 supplied, so the description carries the full behavioral burden. It conveys the ranking operation but says nothing about read-only safety, how ties or non-numeric columns are handled, default/limit behavior, or what is returned. This is a significant gap 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 efficient sentence that front-loads the core operation and appends a short use-case gloss. No wasted text, though it is terse enough to leave some needed detail out.

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?

No output schema exists, yet the description does not describe the returned rows or their shape, and the 'limit' parameter's default behavior is unstated. It covers the essential column/ascending semantics but is only minimally complete for correct invocation.

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 coverage is only 33% (only 'ascending' is documented). The description usefully adds that the column must be numeric and that the direction is highest-or-lowest, which the schema does not state. However, the 'limit' parameter (max 50, no default shown) is never explained, leaving part of the gap uncompensated.

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 verb and resource: returning the highest/lowest rows of the PropFirmPicker dataset ranked by a numeric column. The "which is the most/least X" framing makes the intent concrete. It does not explicitly differentiate itself from siblings like dataset_row or dataset_stats, which keeps it short of a 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 parenthetical "which is the most/least X" implies a use case (finding extremes), but there is no explicit when-to-use, when-not-to-use, or named alternative among siblings (e.g., dataset_row for a single record, dataset_stats for aggregates). Usage is only implied.

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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