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Rank rows by a numeric column

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The highest (or lowest) rows of the Buffrota 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?

With no annotations, the description carries the full burden of behavioral disclosure. It never states that this is a read-only, non-mutating operation, says nothing about the default result size or the 50-row ceiling, and gives no hint about what the returned rows look like — all significant gaps for a tool with zero structured 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 sentence with the ranking action front-loaded and no filler. The trailing quoted gloss is slightly awkward but earns its place by illustrating intent, so the text is efficiently sized overall.

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?

There is no output schema and no annotations, so the description is the only source of behavioral detail — yet it omits the return shape (rows? columns?), the default row count, and the existence of a 50-row cap. For a 3-parameter tool with one fully undocumented parameter, this leaves too much to inference.

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% (only 'ascending' is documented), so the description must compensate. It does partially: 'numeric column' adds a type constraint the schema lacks, and 'highest (or lowest)' clarifies the directionality of the ascending flag. But the 'limit' parameter and its 1–50 range are never mentioned, so coverage remains incomplete.

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 action (return the highest or lowest rows) on a specific resource (the Buffrota dataset) keyed by a numeric column. It is unambiguous about what the tool produces, but it never distinguishes itself from siblings like dataset_row or dataset_search, which could also surface rows.

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 gloss "which is the most/least X" implies the intended use case (extremum lookups), which is a real usage cue. However, it names no alternative tool and states no when-not-to-use condition, so the agent must infer the routing from the name alone.

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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