Skip to main content
Glama

Rank rows by a numeric column

dataset_top

The highest (or lowest) rows of the Orgbix 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

B3.4/5.0
Behavior3/5

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

The description states the core behavior (returning highest/lowest rows by a numeric column) and the ascending parameter indicates ordering direction. However, it does not mention default limit behavior, handling of ties or nulls, error conditions for non-numeric columns, or output format. Since there are no annotations, more behavioral disclosure would be expected.

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 brief and to the point, using a clear format with an example query. It avoids unnecessary detail while conveying the essential purpose. The structure is clean and easy to parse.

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?

The tool is simple and the description covers the main intent, but important contextual details are missing: no default for limit, no mention of output schema or row structure, and no error handling notes. Given the presence of sibling tools, a sentence on when to choose dataset_top would improve completeness.

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?

Only the ascending parameter has a description in the schema; column and limit lack descriptions. The tool description mentions 'numeric column' which hints at the column parameter, but limit is not explained at all. With only 33% schema coverage, the description does not sufficiently compensate for the missing parameter details.

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 description clearly states the tool ranks rows by a numeric column and returns the highest or lowest values, with the example query 'which is the most/least X'. The title reinforces this purpose. It is easily distinguishable from sibling tools like dataset_search 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 Guidelines2/5

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

The description does not explicitly state when to use this tool versus alternatives such as dataset_stats or dataset_search. It provides an example question but no guidance on selection criteria or scenarios. Sibling tools are listed but no comparisons are made.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources